Method and apparatuses for interactive ordering of dental aligners

Information

  • Patent Grant
  • 10885521
  • Patent Number
    10,885,521
  • Date Filed
    Tuesday, July 17, 2018
    6 years ago
  • Date Issued
    Tuesday, January 5, 2021
    4 years ago
Abstract
Methods and apparatuses for manufacturing a series of dental aligners. These methods generally include coordination of a dental aligner laboratory coordinating early in the pre-approval process for financing the dental aligner series, a third party financing service, and/or a dental practitioner (e.g., dentist, orthodontist, etc.).
Description
INCORPORATION BY REFERENCE

All publications and patent applications mentioned in this specification are herein incorporated by reference in their entirety to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference.


BACKGROUND

Orthodontic treatments may include the use of a series of dental aligners for treating, and in particular for aligning, a patient's teeth. Typical treatments with dental aligners require a series of dental aligners that are sequentially worn. Such aligners have numerous advantages compared to more traditional braces formed by wires and brackets, including ease of use, effectiveness, and aesthetics.


One common barrier for all orthodontic treatment is the cost, and the current manner in which such treatments may be financed. Often, dental practitioners, such as orthodontists, dentists, etc. must provide financing plans at their own expense and risk, particularly with respect to aligners. Larger financing entities and services that could provide patient's loans for such treatments may place additional burdens on the dental practitioner, including financial disincentives.


Thus, the current methods for financing orthodontic treatments such as aligners may place an undue burden on dental practitioners, particularly those having smaller practices and those serving less affluent communities. This may result in a disproportionate bias for providing less expensive, and often less effective, treatments. Further, requiring the dental practitioner to shoulder the burden of either self-financing or acting as the primary interface with third party financing organizations is inefficient, particularly in respect to dental aligners, in which the dental aligner laboratory, which actually designs and manufactures the aligners at the instruction of the dental practitioner.


Described herein are methods and apparatuses that may address these issues.


SUMMARY OF THE DISCLOSURE

The present invention relates broadly to methods of manufacturing a series of dental aligners for a patient. These methods also includes methods of preparing to manufacture a series of dental aligners, and methods of financing dental aligners.


In general, these methods, and apparatuses (e.g., systems and devices, including software, hardware and firmware that may perform any of the methods described herein) may operate between a dental aligner laboratory (“lab”), a patient (e.g., a “putative patient” preparing for, or considering, treatment using a series of aligners), one or more dental practitioners (e.g., dentists, orthodontists, dental technicians, etc.), and a third-party financing service (including a service maintained by financial server that may automatically approve and/or service a patient loan). A database (e.g., a database of putative patient loan information) may be maintained by the third party financing service. The dental aligner laboratory may have a first level of access (e.g., “master” access) to this database, while the one or more dental practitioners may be have a second level of access (e.g., “client” access, e.g., as clients of the dental aligner laboratory). This configuration may allow the dental aligner laboratory to streamline patient care including the manufacture of the series of aligners.


In the methods and apparatuses described herein, the dental aligner laboratory (manufacturer) may monitor the database of the third party financing service, allowing immediate feedback on patient status and orders. This permits the more efficient manufacture and distribution of aligners than was previously possible. By modifying the financial relationship between the consumer (putative patient), medical device manufacturer (dental aligner laboratory), and the healthcare provider (dental practitioner), the dental practitioner does not receive invoices from the manufacturer. Instead, the provider may receive revenue at the time that treatment is provided to the patient, e.g., when providing aligners that have already been manufactured to fit the patient as specified by the dental practitioner. This may reduce or eliminate substantial financial barriers and may also enhance the process of manufacturing and delivering a series of aligner to individual patients.


For example, a putative patient may finance treatment with a series of aligners using a third party, but controlled and facilitated through the dental aligner laboratory instead of the provider. Thus, the dental aligner laboratory may coordinate the financing in conjunction with the preparation for treatment. This both frees up the dental practitioner, but may also be particularly advantageous when preparing for treatment with a series of dental aligners, as such treatment is often front-loaded, in that is there is an initial design and manufacturing period before treatment may begin. The methods described herein may allow the dental aligner laboratory, to prepare for such treatments earlier in the process than in currently possible.


At the point of treatment, the putative patient's treatment costs may be funded at least in part through a consumer credit loan provided by a third party. The methods and apparatuses described herein also allow the provider to be paid for services rendered at the time the dental aligners are provided to the patient.


As will be described more fully below, upon the funding of a consumer credit loan by the third party financing service, the funds may be divided between the dental aligner laboratory (manufacturer) and the provider. For example; the laboratory fees, less any discounts provided to the dental practitioner/patient may be paid in parallel with the payments to the dental practitioner. These fee payments may be remitted (e.g., electronically by ACH) to the dental aligner laboratory and to the dental practitioner delivering the services to the patient. These methods and apparatuses for performing them may therefore remove or greatly reduce financial barriers that otherwise limit the dental practitioner from using dental aligners to benefit patients due to upfront costs and the burden of self-financing or coordinating financing. From the perspective of the dental practitioner, the methods described herein may remove these costs; rather than receiving invoices from the dental aligner laboratory, they may instead receive payments, as the dental aligner laboratory coordinates these payments. At the same time, these methods may allow the dental aligner laboratory (manufacturer) to streamline production and processing of patient orders, which may in turn reduce costs.


Thus, described herein are methods of manufacturing a series of aligners. These methods may include: receiving, from a putative patient, a patient information and a request for financing of a series of dental aligners; pre-approving the putative patient for a maximum financed amount and entering the patient information, a preapproval status, and the maximum financed amount into a database; transmitting an alert to a dental aligner laboratory when the putative patient is pre-approved so that the dental aligner laboratory may prepare to manufacture aligners for the putative patient; receiving a preapproval status inquiry from a dental practitioner on behalf of the putative patient, and transmitting the preapproval status and maximum financed amount from the database to the dental practitioner; receiving a treatment cost from the dental practitioner for treating the putative patient and including it in the database; transmitting, to the dental aligner laboratory, an alert when the treatment cost is received along with information identifying the dental practitioner; receiving, from the dental aligner laboratory, a laboratory cost; receiving, from the putative patient, acceptance of an actual financed amount and updating the database to indicate funding of the actual financed amount; transmitting an alert to a dental aligner laboratory that the database has been updated to indicate funding of the actual financed amount so that the dental aligner laboratory may manufacture the series of aligners; and paying, upon receiving notification from the dental aligner laboratory that the series of dental aligners has been sent, a first portion of the actual financed amount to the dental aligner laboratory and a second portion (in some implementations, a remainder) of the actual financed amount to the dental practitioner.


This method may be performed, for example, by a third party financing service and may be partially or completely automated. Thus, these methods may be performed by a financing server including one or more processor configured to execute these steps, and/or control and coordinate the database (e.g., the database of putative loan information). Thus, in any of these methods, receiving the patient information and request for financing, the treatment cost, the laboratory cost, and the acceptance of the actual financed amount may include receiving in a remote processor.


The putative patient may be presented with loan information and/or dental information (including payment plans) on a handheld device. For example, any of these methods may include presenting to the putative patient a user interface on the putative patient's handheld mobile device (e.g., phone, smartphone, tablet, smartwatch, etc.) that is configured to receive the patient information and a request for financing of a series of dental aligners, wherein the user interface communicates with a remote processor.


Receiving the patient information may include receiving one or more of: a patient identifying code identifying the putative patient, the putative patient's name, the putative patient's address, the putative patient's age. In general, patient information may include information sufficient to complete a check of the putative patient's credit. Patient dental information may include information (e.g., images, scans, dental records, etc.) specific to the patient's oral cavity, including teeth, etc. Patient dental information may be a subset of patient information.


Any of these methods may also include adjusting the maximum financed amount at the request of the dental aligner laboratory, wherein the dental aligner laboratory calculates a treatment risk specific to the putative patient based on one or more of a scan of the putative patient's teeth and the patient information. The treatment risk may alternatively or additionally be based on an estimated compliance score. For example, based on a patient's age and/or gender, a score regarding compliance may be determined. Patient's having a higher compliance score (e.g., treatment or dental treatment compliance) may therefore be more likely to successfully complete the treatment.


Any of these methods may also be configured to provide master access to the database to the dental aligner laboratory; one or more dental practitioners may be given client access to the database. Typically, master access may control the client access and may provide greater access and the ability to search, edit and monitor the database. Client access may be more limited, e.g., allowing patient-specific queries and access.


Transmitting the alert (e.g., notification, etc.) to the dental aligner laboratory when the putative patient is pre-approved may include transmitting the alert to the dental aligner laboratory so that dental aligner laboratory may prepare to manufacture aligners for the putative patient by preparing to receive dental information specific to the putative patient from the putative patient and/or the putative patient's dental practitioner. In general, preparing to manufacture aligners for the putative patient may include monitoring the patient record in the database, contact the putative patient (e.g., requesting additional information from the putative patient, providing additional information on the treatment to the putative patient, etc.). For example, preparing to manufacture aligners for the putative patient may include requesting dental information about the putative patient from the patient directly and/or from the dental practitioner or other source. In some variations, the requested dental information may include one or more of: an image of the putative patient's teeth, a digital scan of the putative patient's teeth, and a copy of the putative patient's dental record. Preparing to manufacture aligners for the putative patient may include referring the putative patient to a dental practitioner.


In general, the methods described herein may include receiving the laboratory cost. This may include receiving laboratory costs (e.g., from the dental aligner laboratory) based on the identity of the dental practitioner and/or based on dental information about the putative patient. For example, the dental aligner laboratory may determine the laboratory costs based on the treatment plan specific to the putative patient, and/or based on the identity of the dental practitioner. The dental aligner laboratory may provide one or more discounts on the series of aligners based on the identity of the patient and/or promotions for the putative patient and/or dental practitioner.


As mentioned, a user interface for the consumer (putative patient) may include a mobile application software that communicates with the third party financing and/or the dental aligner laboratory through the putative patient's electronics device. For example, any of these methods may also include providing, in a user interface on the putative patient's mobile device, a choice of financing options before receiving acceptance of the actual financed amount.


A method of manufacturing a series of aligners may include: receiving, from a putative patient, a request for financing of a series of dental aligners in a remote processor having a database to which a dental aligner laboratory has master access and further to which a dental practitioner has client access, wherein the request for financing includes patient information specific to the putative patient; pre-approving the putative patient for a maximum financed amount and entering the patient information, a preapproval status, and the maximum financed amount into the database; transmitting an alert to the dental aligner laboratory when the putative patient is pre-approved so that dental aligner laboratory may prepare to manufacture aligners for the putative patient; receiving a preapproval status inquiry from the dental practitioner on behalf of the putative patient, and transmitting the preapproval status and maximum financed amount from the database to the dental practitioner; receiving a treatment cost for treating the putative patient and including it in the database; receiving a laboratory cost for treating the putative patient; receiving, from the putative patient, acceptance of an actual financed amount and updating the database to indicate funding of the actual financed amount; initiating manufacture of the series of dental aligners specific to the putative patient by transmitting an alert to a dental aligner laboratory that the actual financed amount has been funded; paying, following receipt of notification that the series of dental aligners has been completed and sent, a first portion of the actual financed amount to the dental aligner laboratory and a second portion (e.g., a remainder) of the actual financed amount to the dental practitioner.


A method of manufacturing a series of aligners may include: receiving, from a putative patient, a request for financing of a series of dental aligners in a remote processor having a database to which a dental aligner laboratory has master access and further to which a dental practitioner has client access, wherein the request for financing includes patient information specific to the putative patient; pre-approving the putative patient for a maximum financed amount and entering the patient information, a preapproval status, and the maximum financed amount into the database; receiving a preapproval status inquiry from the dental practitioner on behalf of the putative patient, and transmitting the preapproval status and maximum financed amount from the database to the dental practitioner; receiving a treatment cost for treating the putative patient and including it in the database; receiving a laboratory cost for treating the putative patient; receiving, from the putative patient, acceptance of an actual financed amount and updating the database to indicate funding of the actual financed amount; initiating manufacture of the series of dental aligners specific to the putative patient by transmitting an alert to a dental aligner laboratory that the actual financed amount has been funded; paying, following receipt of notification that the series of dental aligners has been completed and sent, a first portion of the actual financed amount to the dental aligner laboratory and a second portion (e.g., a remainder) of the actual financed amount to the dental practitioner.


Also described herein are methods of manufacturing a series of dental aligners (or methods of preparing to manufacture a series of dental aligners) that are performed primarily or exclusively by the dental aligner laboratory in conjunction with the third party financing service (e.g., automated financial server), putative patient and one or more (e.g., a plurality of) dental practitioners.


For example, a method of manufacturing a series of dental aligners may include: providing master access to a database of putative patient loan information to a dental aligner laboratory; receiving, by the dental aligner laboratory, a notification from a remote financing server that a putative patient has requested or received pre-approval of a maximum financed amount for a dental aligner treatment and preparing to manufacture the series of aligners for the putative patient upon receiving the notification; receiving, by the dental aligner laboratory, an alert when the remote financing server receives a treatment cost from a dental practitioner for the putative patient; calculating a laboratory cost for manufacturing the series of aligners for the putative patient and transmitting the laboratory cost to the remote financing server; receiving an alert that the remote financial server has funded an actual financed amount for the putative patient and thereafter initiating manufacture of the series of dental aligners specific to the putative patient; and transmitting instructions to the remote financial server to pay the treatment cost to the dental practitioner and to pay the laboratory cost to the dental aligner laboratory after the series of dental aligners has been completed and sent.


As mentioned, preparing to manufacture the series of aligners for the putative patient may comprise preparing to receive dental information specific to the putative patient from the putative patient and/or the putative patient's dental practitioner, and/or requesting dental information about the putative patient (e.g., requesting one or more of: an image of the putative patient's teeth, a digital scan of the putative patient's teeth, and a copy of the putative patient's dental record, and/or requesting from the dental practitioner that is associated with the putative patient in the database of putative patient loan information); and or referring the putative patient to a dental practitioner.


Receiving, by the dental aligner laboratory, an alert may comprise receiving a request for laboratory cost. Calculating the laboratory cost for manufacturing the series of aligners for the putative patient may be based a discount associated with the dental practitioner and/or the putative patient's dental information.


Any of these methods may also include transmitting, to the remote financing server from the dental aligner laboratory, an adjusted maximum financed amount based a treatment risk for the putative patient. For example, any of these methods may include adjusting the maximum financed amount based on a treatment risk determined using patient dental information comprising one or more of: an image of the putative patient's teeth, a digital scan of the putative patient's teeth.


A method of manufacturing a series of dental aligners may include: providing master access to a database of putative patient loan information to a dental aligner laboratory; monitoring, by the dental aligner laboratory, a database (e.g., database of putative patient loan information) maintained by a remote financing server from which a putative patient has requested or received pre-approval of a maximum financed amount for a dental aligner treatment; receiving, by the dental aligner laboratory, an alert when the remote financing server receives a treatment cost from a dental practitioner for the putative patient; calculating a laboratory cost for manufacturing the series of aligners for the putative patient and transmitting the laboratory cost to the remote financing server; receiving an alert that the remote financial server has funded an actual financed amount for the putative patient and thereafter initiating manufacture of the series of dental aligners specific to the putative patient; and transmitting instructions to the remote financial server to pay the treatment cost to the dental practitioner and to pay the laboratory cost to the dental aligner laboratory after the series of dental aligners has been completed and sent.





BRIEF DESCRIPTION OF THE DRAWINGS

The novel features of the invention are set forth with particularity in the claims that follow. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:



FIG. 1A illustrates the possible interactions between a dental aligner laboratory, a putative patient, a third party financing service, and one or more dental practitioners.



FIG. 1B is a first part of a flow diagram illustrating a method of fabricating a series of aligners.



FIG. 1C is the second part of the diagram of FIG. 1B.



FIG. 1D is a flow diagram similar to that shown in FIGS. 1B-1C including one or more additional steps.



FIG. 2A illustrates one example of a method or fabricating a series of aligners from the perspective of the third party financing service.



FIG. 2B illustrates and example of a method of fabricating a series of aligners from the perspective of a dental aligner laboratory (manufacturer).


FIGS. 3A1-3E illustrate an exemplary patient user interface that may be used (e.g., as part of a mobile application or other software) during the pre-approval portion of the methods of fabricating a series of aligners as described herein.



FIGS. 4A-4I illustrate an exemplary patient user interface that may be used to select and approve a treatment loan as described herein.



FIG. 5 illustrate an exemplary user interface that may be used to select and approve a treatment loan as described herein.



FIG. 6 is an example of a user interface for monitoring an Approval Database (e.g., monitoring by Master (e.g., Lab) and/or Client (e.g., Dental Physician).



FIG. 7 is an example of a user interface for monitoring funding of loan from Approval Database by Master (e.g., Lab).



FIG. 8 is an example of a user interface for a client (e.g., Dental Physician) of Master account (e.g., Lab).



FIG. 9 is an illustration of the Third Party transmission (e.g., ACH) payment to Dental Professional and Lab following sending of aligner series to Dental Professional.



FIG. 10 is an alternative diagram illustrating a method of fabricating a series of aligners.



FIG. 11 schematically illustrates an example of a process flow for consumer sales including financing.



FIG. 12 schematically illustrates an example of a process flow for consumer sales including financing using online scheduling.



FIGS. 13A and 13B show example of user interfaces for a transfer process in a third party loan application.



FIG. 14 is an example of an in-office consumer financing process.



FIGS. 15A, 15B and 15C show a process flow diagram illustrating one example of a retail store loan consumer financing process example. The chart shown in FIG. 15A is continued onto FIGS. 15B and 15C.



FIGS. 16A, 16B and 16C show a process flow diagram illustrating one example of a concierge consumer financing process. The chart shown in FIG. 16A is continued onto FIGS. 16B and 16C.



FIG. 17 shows an example of a coordinated aligner payment alert environment, in accordance with some implementations.





DETAILED DESCRIPTION

The methods and apparatuses described herein generally allow a dental aligner laboratory (e.g., a dental aligner laboratory associated with a dental aligner manufacturer) 160 to monitor a database of the third party financing service 180, allowing immediate feedback on patient (putative patient 155) status and orders. FIG. 1 gives an overview of possible relationships between the dental aligner laboratory 160, putative patient 155, dental practitioner(s) 170, 170′, and third party financing service 180.


The dental aligner manufacturer may coordinate the process manufacturing a series of aligners on behalf of a putative patient including the important pre-manufacturing steps of financing and pre-screening of putative patients before a therapy is started. Therapy typically starts when the aligners are provided to the putative patient, e.g., by the dental practitioner. Described herein are methods in which the dental aligner laboratory (rather than the dental practitioner and/or the third party financing service) coordinates the financing of the treatment. This may permit the more efficient manufacture and distribution of aligners than was previously possible. This may reduce or eliminate substantial financial barriers and may also enhance the process of manufacturing and delivering a series of aligner to individual patients.



FIG. 17 shows an example of a coordinated aligner payment alert environment 1700, in accordance with some implementations. The coordinated aligner payment alert environment 1700 may include a computer-readable medium 1702, a putative patient system 1710, a dental aligner manufacturing system 1720 (alternatively referred to herein as a laboratory system), aligner finance system(s) 1730, a dental practitioner system 1740, and an automated milestone management system 1760. One or more of the elements of the coordinated aligner payment alert environment 1700 may be coupled to one another or to modules not explicitly shown in FIG. 17. As an example, the elements of the coordinated aligner payment alert environment 1700 may be coupled to one another through the computer-readable medium 1702.


As further discussed herein, the elements of the coordinated aligner payment alert environment 1700 may operate to provide distributed, coordinated, and/or real-time alert about the status of payment milestone, such as a financing and/or payment milestone for one or more orthodontic aligners. As noted herein, the elements of the coordinated aligner payment alert environment 1700 may further operate to route payment from the aligner finance system(s) 1730 and to split a payment for orthodontic treatment between the dental aligner manufacturing system 1720 and the dental practitioner system 1740. The components herein operate in an unconventional manner to achieve various improvements in computer functionality, such as the provision of distributed, coordinated, and/or real-time alert about the status of payment milestone without any human intervention. The automated agents implemented by the elements of the coordinated aligner payment alert environment 1700 may work together in a distributed manner to enhance the provisioning of data in a distributed fashion and therefore may facilitate solving significant technical problems related to managing massive payment data record flows related to orthodontic treatments and/or aligners.


The computer-readable medium 1702 and other computer readable media discussed in this paper are intended to represent a variety of potentially applicable technologies. For example, the computer-readable medium 1702 can be used to form a network or part of a network. Where two components are co-located on a device, the computer-readable medium 1702 can include a bus or other data conduit or plane. Where a first component is co-located on one device and a second component is located on a different device, the computer-readable medium 1702 can include a wireless or wired back-end network or LAN. The computer-readable medium 1702 can also encompass a relevant portion of a WAN or other network, if applicable. As noted herein, the computer-readable medium 1702 may be configured to couple one or more of the elements of the coordinated aligner payment alert environment 1700 to one another. In this example, the computer-readable medium 1702 couples the putative patient system 1710, the dental aligner manufacturing system 1720 (alternatively referred to herein as a laboratory system), the aligner finance system(s) 1730, the dental practitioner system 1740, and the automated milestone management system 1760 to one another.


The putative patient system 1710 may include a digital device configured to interface with a putative patient and/or a patient. The putative patient may be a person seeking orthodontic treatment of an orthodontic condition, e.g., through the use of orthodontic aligners. The putative patient system 1710 may include a patient user interface (UI) engine 1712. The patient UI engine 1712 may be configured to receive user input and/or display results of user input, treatment data, and/or financial data to a putative patient.


As used herein, any “engine” may include one or more processors or a portion thereof. A portion of one or more processors can include some portion of hardware less than all of the hardware comprising any given one or more processors, such as a subset of registers, the portion of the processor dedicated to one or more threads of a multi-threaded processor, a time slice during which the processor is wholly or partially dedicated to carrying out part of the engine's functionality, or the like. As such, a first engine and a second engine can have one or more dedicated processors or a first engine and a second engine can share one or more processors with one another or other engines. Depending upon implementation-specific or other considerations, an engine can be centralized or its functionality distributed. An engine can include hardware, firmware, or software embodied in a computer-readable medium for execution by the processor. The processor transforms data into new data using implemented data structures and methods, such as is described with reference to the figures herein.


The engines described herein, or the engines through which the systems and devices described herein can be implemented, can be cloud-based engines. As used herein, a cloud-based engine is an engine that can run applications and/or functionalities using a cloud-based computing system. All or portions of the applications and/or functionalities can be distributed across multiple computing devices, and need not be restricted to only one computing device. In some embodiments, the cloud-based engines can execute functionalities and/or modules that end users access through a web browser or container application without having the functionalities and/or modules installed locally on the end-users' computing devices.


As used herein, “datastores” may include repositories having any applicable organization of data, including tables, comma-separated values (CSV) files, traditional databases (e.g., SQL), or other applicable known or convenient organizational formats. Datastores can be implemented, for example, as software embodied in a physical computer-readable medium on a specific-purpose machine, in firmware, in hardware, in a combination thereof, or in an applicable known or convenient device or system. Datastore-associated components, such as database interfaces, can be considered “part of” a datastore, part of some other system component, or a combination thereof, though the physical location and other characteristics of datastore-associated components is not critical for an understanding of the techniques described herein.


Datastores can include data structures. As used herein, a data structure is associated with a particular way of storing and organizing data in a computer so that it can be used efficiently within a given context. Data structures are generally based on the ability of a computer to fetch and store data at any place in its memory, specified by an address, a bit string that can be itself stored in memory and manipulated by the program. Thus, some data structures are based on computing the addresses of data items with arithmetic operations; while other data structures are based on storing addresses of data items within the structure itself. Many data structures use both principles, sometimes combined in non-trivial ways. The implementation of a data structure usually entails writing a set of procedures that create and manipulate instances of that structure. The datastores, described herein, can be cloud-based datastores. A cloud-based datastore is a datastore that is compatible with cloud-based computing systems and engines.


The dental aligner manufacturing system 1720 may include a digital device configured to facilitate design and/or manufacture of orthodontic aligners. The dental aligner manufacturing system 1720 may include aligner manufacture engine(s) 1722, aligner manufacture management engine(s) 1724, and aligner payment management engine(s) 1726. One or more elements of the dental aligner manufacturing system 1720 may be coupled to one another or to modules not explicitly shown. The dental aligner manufacturing system 1720 may be managed and/or associated with an entity that makes orthodontic aligners.


The aligner manufacture trigger engine(s) 1722 may implement one or more automated agents configured to manage aligner manufacture triggers. An “aligner manufacture trigger,” as used herein, may include computer program instructions and/or code configured to trigger instructions to manage aligner manufacturing parameters. Aligner manufacture triggers may be based on or coordinated with achievement of a payment milestone. A “payment milestone,” as used herein, may include an event related to fulfillment of a condition to pay for aligners. Examples of payment milestones include achievement of pre-approval (e.g., pre-qualification or qualification for a loan for aligners) by a customer, satisfaction of an obligation to pay a portion of a debt related to aligners (e.g., payment of a down payment related to a loan for aligners), etc. As noted herein, payment milestones may be provided in the form of notification triggers from the automated milestone management system 1760.


Coordination of aligner manufacturing may provide a substantial improvement in reducing the time to deliver the aligners as well as in generating, validating and confirming individual treatment plans, particularly as the number of patients to be treated increases. Fabrication or manufacture of aligners may include a variety of steps, including iteration between the dental practitioner (e.g., dentist, orthodontist, etc.) and the laboratory. Prior to fabrication of the aligner(s) by the laboratory and delivery of the sequence of aligner to an individual patient by the dental practitioner and/or laboratory, the dental practitioner must customize the treatment plan to each individual patient. This customization must take into account both the skill and desires of the dental practitioner and the constraints of the manufacturing process; thus, each treatment plan may represent a substantial amount of up-front customization to each individual patient and coordination between the dental practitioner and the laboratory. However, the dental practitioner and laboratory are usually economically independent agents; neither the dental practitioner nor the laboratory may desire to shoulder the burden of undertaking the aligner manufacture process (including treatment planning, validation, finalization and fabrication of a series of aligner), particularly at early stages, during which the risk of default is highest. The methods and systems, including the coordinated aligner payment alert environment 1700, described herein provide a solution to the highly technical problem of manufacturing dental aligners by distributing the financial and fabrication portions of the fabrication process more equitably between the dental practitioner and laboratory.


The aligner manufacture management engine 1724 may implement one or more automated agents configured to implement instructions to manufacture aligners. The aligner manufacture management engine 1724 may be configured to instruct a 3D printer to form an aligner mold and/or to directly fabricate aligners. The aligner manufacture management engine 1724 may be configured to instruct a thermoforming system to thermoform aligners over an aligner mold. In some implementations, the aligner manufacture management engine 1724 may be configured to receive instructions from the aligner manufacture trigger engine(s) 1722. As an example, the aligner manufacture management engine 1724 may be configured to receive aligner manufacture triggers, such as those based on achievement of a payment milestone, from the aligner manufacture trigger engine(s) 1722. The aligner manufacture management engine 1724 may further be configured to base instructions to fabricate aligners and/or aligner molds based on aligner manufacture triggers.


The aligner payment management engine(s) 1726 may implement one or more automated agents configured to monitor a payment status of aligners. The aligner payment management engine(s) 1726 may be configured to identify whether or not an aligner manufacturer has been paid (and/or otherwise contractually satisfied) for aligners. The aligner payment management engine(s) 1726 may be configured to receive at least a portion of payment for aligners from, e.g., the aligner finance system(s) 1730 and/or the automated milestone management system 1760. In some implementations, the notification triggers from the automated milestone management system 1760 may include instructions to transfer payment for aligners from the aligner finance system(s) 1730.


The aligner finance system(s) 1730 may include a digital device configured to manage financing of aligners. The aligner finance system(s) 1730 may be maintained by financial entities, such as banks or loan providers. In some implementations, the aligner finance system(s) 1730 are maintained by “third-parties,” e.g., entities other than a customer, a dental practitioner, and an aligner manufacturer. As a result, the aligner finance system(s) 1730 may incorporate one or more interfaces (not shown) that facilitate gathering of a person's financial data. The aligner finance system(s) 1730 may further comprise one or more engines and/or datastores that manage a putative patient's financial arrangements for obtaining aligners, e.g., loans for aligners.


The dental practitioner system(s) 1740 may include a digital device configured to instruct a dental practitioner to implement orthodontic aligner treatment. The dental practitioner system(s) 1740 may include treatment trigger engine(s) 1742, treatment management engine(s) 1744, milestone interface engine(s) 1746, a treatment data datastore 1748, and treatment payment management engine(s) 1750. One or more of the elements of the dental practitioner system 1740 may be coupled to one another or to components not explicitly shown. The dental practitioner system(s) 1740 may be managed and/or associated with an entity that implements orthodontic treatment (e.g., an orthodontist or orthodontist group).


The treatment trigger engine(s) 1742 may implement one or more automated agents configured to identify and/or manage treatment triggers. A “treatment trigger,” as used herein, may include computer program instructions and/or code configured to trigger instructions to provide orthodontic treatment. A treatment trigger may, but need not, be related to achievement of a payment milestone. A treatment trigger may be related to attributes of orthodontic treatment (such as whether a putative patient needs/qualifies for orthodontic treatment), attributes of a putative patient, and/or other factors.


The treatment management engine(s) 1744 may implement one or more automated agents configured to implement an orthodontic treatment plan. The treatment management engine(s) 1744 may base treatment on treatment data from the treatment data datastore 1748. In some implementations, orthodontic treatment plans are based on satisfaction of treatment triggers. As an example, in some implementations, the treatment management engine(s) 1744 bases treatment plans on satisfaction of payment milestones, as further discussed herein.


The milestone interface engine(s) 1746 may implement one or more automated agents configured to interface with the automated milestone management system 1760. The milestone interface engine(s) 1746 may implement Application Programming Interfaces (APIs) that receive notification triggers from the automated milestone management system 1760. As noted further herein, the notification triggers may signify achievement of payment milestones, e.g., achievement of pre-approval (e.g., pre-qualification or qualification for a loan for aligners) by a customer, satisfaction of an obligation to pay a portion of a debt related to aligners (e.g., payment of a down payment related to a loan for aligners), etc.


The treatment payment management engine(s) 1750 may implement one or more automated agents configured to monitor a payment status of an orthodontic treatment plan. The treatment payment management engine(s) 1750 may be configured to identify whether or not an orthodontic treatment provider has been paid (and/or otherwise contractually satisfied) for an orthodontic treatment plan (e.g., one implemented using aligners). The treatment payment management engine(s) 1750 may be configured to receive at least a portion of payment for aligners from, e.g., the aligner finance system(s) 1730 and/or the automated milestone management system 1760. In some implementations, the notification triggers from the automated milestone management system 1760 may include instructions to transfer payment for aligners from the aligner finance system(s) 1730.


The automated milestone management system 1760 may include a digital device configured to monitor achievement of payment milestones and provide notification triggers to the dental aligner manufacturing system 1720 and/or the dental practitioner system 1740. The automated milestone management system 1760 may include payment milestone engine(s) 1760, notification trigger engine(s) 1762, financial institution interface engine(s) 1764, manufacturer interface engine(s) 1766, practitioner interface engine(s) 1768, and a payment milestone data datastore 1770. One or more of the elements of the automated milestone management system 1760 may be coupled to one another or to components not explicitly shown.


The payment milestone engine(s) 1760 may implement one or more automated agents configured to determine whether or not a putative patient achieved a payment milestone. In some implementations, the payment milestone engine(s) 1760 evaluates financial data gathered from the aligner finance system(s) 1730 to see if a putative patient achieved one or more specified payment milestones. The payment milestone engine(s) 1760 may evaluate the satisfaction of various payment milestone conditions using payment data stored in the payment milestone data datastore 1770. In some implementations, the payment milestone engine(s) 1760 implement automated rules to split payments between the dental aligner manufacturing system 1720 and the dental practitioner system 1740. The specific amounts of a split may be based on attributes (e.g., costs or estimated market value(s)) of a treatment plan, of aligner manufacturer, etc.


The notification trigger engine(s) 1762 may implement one or more automated agents configured to provide notification triggers. A notification trigger,” as used herein, may include computer program instructions and/or code configured to trigger instructions to indicate achievement of a payment milestone. In some implementations, the notification triggers are implemented as real-time electronic alerts to various systems, such as the dental aligner manufacturing system 1720 and/or the dental practitioner system 1740. The notification trigger engine(s) 1762 may also provide notification triggers to, e.g., the putative patient system 1710. The real-time electronic alerts may comprise emails, in-application notifications, text (SMS) or other notifications, operating system (OS) alerts, etc. The notification triggers may provide a distributed and/or coordinated framework to communicate the status of payment milestones to a dental aligner manufacturer and a dental practitioner. In various implementations, the notification triggers operate to automatically and without human intervention split payment for aligners between a dental aligner manufacturer and a dental practitioner. As an example, the notification triggers may operate to automatically route electronic payments from the aligner finance system(s) 1730 to the dental aligner manufacturing system 1720 and the dental practitioner system(s) 1740. The amounts of a specific payment split may depend on various rules maintained by the payment milestone engine(s) 1760.


The financial institution interface engine(s) 1764 may implement one or more automated agents configured to interface with the aligner finance system(s) 1730. The manufacturer interface engine(s) 1766 may implement one or more automated agents configured to interface with the dental aligner manufacturing system 1720. The practitioner interface engine(s) 1768 may implement one or more automated agents configured to interface with the dental practitioner system 1740.



FIGS. 1B and 1C (shown across two pages) generally includes three or more periods. The first period is a pre-approval period. During this period, a patient (referred to herein as a “putative patient”) that is interested in receiving treatment by a series of aligners expresses interest in financing the treatment 101. Prior to the methods and apparatuses described herein, this would likely involve the use of a third party financing service that could provide a loan which would be coordinated by the dental practitioner (e.g., dentist), and/or the dental practitioner may themselves provide financing. Instead, as shown in FIGS. 1B and 1C, the putative patient may be referred to a third party (third party financing service) to request preapproval. This process may be coordinated by the use of software, firmware and/or hardware, including software such as application software that is configured to run on a putative patient's own mobile device (e.g., smartphone). Thus, the putative patient may use a phone, tablet or other computer, including an app for the computing device (e.g., a mobile user interface) to request pre-approval for a phone, and provide the third party with patient identifying information 103. This may trigger the third party financial server either automatically or manually, or semi-automatically, to open a record of the patient (or update an existing record) in a database (e.g., a database of putative patient loan information, which may also be referred to as an approval database) 105.


For example, FIGS. 3A1-3D illustrate an example of a user interface for requesting pre-approval for an aligner treatment, including manufacturing of the series of aligners. The putative patient may be sent (e.g., via SMS) a message requesting that they start the credit application, as shown in FIG. 3E. This message may provide a link that begins the credit application process, as shown in FIGS. 3A1 to 3B. The putative patient may enter their personal identifying information (name, social security number, phone number, address, date of birth/age, contact information, etc.), as shown in FIG. 3C-3D. This information may be submitted to the third party financing service which may update the database with this information, as well as the decision on the pre-approval inquiry. A notice indicating that the patient has been pre-qualified may be sent via the same channel, shown in FIG. 3E.


Returning to FIG. 1B, the dental aligner laboratory typically has “master” access to this database, which may be maintained by the dental aligner laboratory, or more likely by the third party financing service. The dental aligner laboratory may monitor, modify and/or receive alerts and/or updates from this database. In this case, opening or updating an entry specific to the potential user may trigger one or more alerts (e.g., notifications) to the dental aligner laboratory. Further, the third party financing service may make a decision to pre-approve or deny the prospective patient, and, if preapproved, may determine, initially based on the putative patient's credit (e.g., credit score, credit check, etc.) a maximum pre-approved amount. The third party may then update this database with approve/deny decision and approved amount, as mentioned 107.


Note that the pre-approval period may occur either before or during a visit to a dental practitioner (e.g., orthodontist, dentist, etc.). As illustrated in FIG. 10, in some cases the putative patient may call into an information call center (e.g. consultant) affiliated with the dental aligner laboratory. The consultant may provide the link to the financial services or this may be provided while visiting/consulting with a dental practitioner.


A pre-treatment period may then enter the pre-approval period. The pre-treatment period may include the visit to the dental practitioner, who may examine the patient's teeth, including taking images, scans, etc. 109. This information may be provided to the dental aligner laboratory and may include the patient identifying information. This information may also be included in (or linked to) the database. The dental practitioner may then request preapproval information from either the dental aligner laboratory or directly (as a client account of the dental aligner laboratory) from the third party financing service 111. In some cases, the dental practitioner's records for the patient may be partially or completely reconciled (including filled in) by information from the database 113. Preapproval status (e.g., preapproved of ran amount of $X dollars”) may be provided to the dental practitioner. In some case, this information may come through the laboratory 115, or it may alternatively come directly from the database. The dental practitioner may then provide treatment options (including various cost options 117) to the putative patient. If the patient agrees to the treatment, she or he may then select which treatment options and/or loan terms 119. Any of these methods may also include an initial down-payment.



FIGS. 4A-4I illustrate one example of a user interface showing the selection of a finance plan (FIG. 4A), and the approval of the terms of the loan offered by the third party (FIGS. 4B-4D). The putative patient may then accept the loan, as shown in FIG. 4E, and set up a repayment plan (FIGS. 4F-4G). The loan may then be funded by the third party. FIG. 5 is another example of a user interface for communicating between the third party and the dental practitioner, allowing the dental practitioner to provide an estimate of the treatment cost and therefore different payment plans. This information (e.g., treatment cost) may be updated and sent to the database; receipt of the cost information from the dental practitioner may also trigger an alert and/or request for the laboratory cost from the dental aligner lab. The dental aligner lab may calculate the cost based on the presumptive treatment (e.g., based on patient dental information) and/or based on the identity of the dental practitioner and/or based on any promotional or discount programs. This cost (the laboratory fee) may then be transmitted and stored in the database.


Returning to FIG. 1C, the aligner manufacture period 122 may update the database 121 and may include indicating (e.g. alerting) the dental aligner laboratory that the Third party moved loan is in holding status, to be funded once the lab fulfills treatment order. This may allow the laboratory (e.g., manufacturer) to prepare for processing of fabricating the series of aligners. For example, the dental practitioner may transmit the formal request for a series of aligners with patient aligner information to the laboratory. The laboratory may then manufacture the aligner series and send it to the dental practitioner 125. The lab may generate an invoice for Dental Professional and transmits final invoice amount to Approval Database 126. After manufacture and/or shipping the aligner series, the laboratory approve/triggers payment to physician by third party, as well as concurrent payment to Lab by third party 127. This is illustrated in FIG. 9. The third party transmits (e.g., ACH) payment to the dental practitioner and Laboratory 129, and the patient gets the aligners from the dental practitioner and beings treatment 131.


The methods described above may be modified by removing or minimizing the dental practitioner's role; including sending the aligners directly to the patient.



FIGS. 2A and 2B illustrate methods similar to those discussed above.


For example, FIG. 2A illustrates a method of manufacturing a series of aligners that includes: receiving, from a putative patient, patient information and a request for financing of a series of dental aligners 201; pre-approving the putative patient for a maximum financed amount and entering the patient information, a preapproval status, and the maximum financed amount into a database 203; receiving a preapproval status inquiry from a dental practitioner on behalf of the putative patient, and transmitting the preapproval status and maximum financed amount from the database to the dental practitioner 207; receiving a treatment cost from the dental practitioner for treating the putative patient and including it in the database 209; transmitting, to the dental aligner laboratory, an alert when the treatment cost is received along with information identifying the dental practitioner 211; transmitting an alert to a dental aligner laboratory when the putative patient has their treatment details finalized by the Dental Professional so that the dental aligner laboratory may prepare to manufacture aligners for the putative patient (optional step 205); receiving, from the dental aligner laboratory, a laboratory cost 213; receiving, from the putative patient, acceptance of an actual financed amount and updating the database to indicate funding of the actual financed amount 215; in some variations, the dental aligner laboratory may receive an alert that the database has been updated to indicate funding of the actual financed amount so that the dental aligner laboratory may manufacture the series of aligners; and paying, upon receiving notification from the dental aligner laboratory that the series of dental aligners has been sent, a first portion of the actual financed amount to the dental aligner laboratory and a second portion (e.g., a remainder) of the actual financed amount to the dental practitioner 219.


Thus, in any of the method and system variations described herein, the dental aligner laboratory may be alerted early in the process and may therefore make preliminary preparations for treatment, including assisting the dental practitioner in identifying a treatment product, scheduling of treatment processing, etc. For example, the laboratory may assist in identifying a treatment product by providing directly the practitioner or to the database a listing and/or description of dental aligner products (e.g., treatments using a limited or pre-defined number of aligners or for limited time duration (8 months, one year, 1.5 years, etc.), treatments using/not using attachments to the teeth in addition to aligners, treatments focused on primarily aesthetics, etc.


For example, any of these methods may include transmitting an alert to the dental aligner laboratory when the putative patient is pre-approved so that the dental aligner laboratory may prepare to manufacture aligners for the putative patient. Preparation may include scheduling aligner manufacturing resources, communication with the database, patient and/or dental practitioner about available treatment plan options, opening and/or populating a local patient treatment record, or the like.



FIG. 2B describes a method of manufacturing a series of dental aligners that includes: providing master access to a database of putative patient loan information to a dental aligner laboratory 221; receiving, by the dental aligner laboratory, a notification from a remote financing server that a putative patient has requested or received pre-approval of a maximum financed amount for a dental aligner treatment and (optionally) preparing to manufacture the series of aligners for the putative patient upon receiving the notification (optional) 223; receiving, by the dental aligner laboratory, an alert when the remote financing server receives a treatment cost from a dental practitioner for the putative patient 225; Dental Professional finalizes treatment details, triggering dental aligner laboratory to manufacture the series of aligners for the putative patient upon receiving the notification 226; calculating a laboratory cost for manufacturing the series of aligners for the putative patient and transmitting the laboratory cost to the remote financing server 227; receiving an alert that the remote financial server has funded an actual financed amount for the putative patient 229 and thereafter initiating manufacture of the series of dental aligners specific to the putative patient; and transmitting instructions to the remote financial server to pay the treatment cost to the dental practitioner and to pay the laboratory cost to the dental aligner laboratory after the series of dental aligners has been completed and sent 231.



FIGS. 6, 7 and 8 show user interfaces for communicating with the financial server, e.g., that may be used by the laboratory and/or dental practitioner to monitor the loan status and/or treatment status of one or more patients.


As mentioned, a patient interested in aligner therapy may initial contact the laboratory, e.g., by visiting a website or calling a call-in center, and may receive information about financing. An email or text message (based on patient preference) may be sent to allow the patient to enter information. This process may be done in real-time, indicating pre-approved or denies status. Once the patient approves of the loan documents, the loan may be funded. In the remote server (e.g., cloud), the funded loan status may be viewed by the laboratory. The laboratory system may look daily at loans funded and cross-reference them against the pipeline report of when the aligner series ships and leaves the manufacturer. The laboratory may alert the financing server that the aligners have shipped, thereby automatically telling the loan server (software) to pay the physician and to pay laboratory.



FIG. 1D illustrates one example of a variation in which the maximum loan amount could be modified based on dental information. For example, the loan amount could be modified based on predicted treatment outcome specific to the patient. Alternatively or additionally, the loan amount could be modified based on the predicted patient compliance. More complicated procedures could be approved for larger loan amounts, which may be drawn against in the future.



FIGS. 11 and 12 illustrate examples of process flows for recruiting customers (e.g., financing), including both with (FIG. 12) and without (FIG. 11) an online scheduling technique. In FIG. 11, the patient a consumer sales representative may manually book an appointment and walk the patient through some basic information both about the loan (e.g., explaining the significance of terms for the consumer loan and/or scheduling and aiding in securing the loan for a particular orthodontic product. FIG. 12 is an improvement on this manual method that includes the use of an automated (e.g., a smartphone owned or loaned to the patient, where the “smartphone” may be any hand-held electronic device including a processor). The smartphone application software may be used to provide information to user (patient) about aligner providers, e.g., physicians, etc. (including answering questions about provider practice, availability, etc.), and may aid in automatically scheduling an initial and follow-up appointments the provider, and/or may book appointment. The app/software may also act, as described above, to perform the loan approval process. FIGS. 13A and 13B illustrate examples of user interfaces for the application software when setting up and applying for a loan and/or treatment. FIG. 13A illustrates a user interface for displaying information about the patient and patient loan, such as user-identifying information (phone number, phone type, email, etc.), as well as the requested loan amount and the maximum loan amount. FIG. 13B illustrates a user interface for finding a merchant to assign to a loan.



FIG. 14 illustrates one example of a method (shown as a process chart) for consumer financing and manufacturing of a patient orthodontic treatment including a plurality of aligners. FIGS. 15A-15C and 16A-16C illustrate process diagrams for retail store locations consumer financing processes and patient concierge consumer financing.


As discussed above in relation to FIGS. 1B-1C and 1D, the process of manufacturing aligners may be greatly improved by integrating the aligner manufacturing process with the consumer financing in a particular ordered manner. This may avoid the inefficiencies associated with waiting times, and the order of manufacturing operations. Prior systems required the dental provider (e.g., orthodontist, dentist, etc.) to bear the burden of coordinating the patient loan and, setting up a treatment plan and ordering the aligner(s). The methods and systems described herein may address these inefficiencies, by integrating the dental laboratory in the loan process, including transmitting an alert to the dental aligner laboratory when the putative patient is pre-approved so that the dental aligner laboratory may begin to prepare to manufacture aligners for the putative patient and transmitting an alert to the dental aligner laboratory when the treatment cost is received from the dental practitioner, along with information identifying the dental practitioner, and finally, transmitting an alert to the dental aligner laboratory that the database has been updated to indicate funding of the actual financed amount so that the dental aligner laboratory may manufacture the series of aligners.


In practice, these processes may be aided by the use of both a patient processor (e.g., a smartphone, tablet, etc.) near the patient that may provide information to the patient, including a user interface such as shown in FIGS. 3A1-3E and 4A-4I, which may communicate with a third party processor (e.g., a remote processor) and may also directly or indirectly communicate with a dental practitioner (dentist, orthodontist, etc.) processing device (e.g., client processor, such as a computer, tablet, etc.) and/or laboratory processing device (e.g., master processor, such as a computer, tablet, etc.).


Any of the methods (including user interfaces) described herein may be implemented as software, hardware or firmware, and may be described as a non-transitory computer-readable storage medium storing a set of instructions capable of being executed by a processor (e.g., computer, tablet, smartphone, etc.), that when executed by the processor causes the processor to control perform any of the steps, including but not limited to: displaying, communicating with the user, analyzing, modifying parameters (including timing, frequency, intensity, etc.), determining, alerting, or the like.


When a feature or element is herein referred to as being “on” another feature or element, it can be directly on the other feature or element or intervening features and/or elements may also be present. In contrast, when a feature or element is referred to as being “directly on” another feature or element, there are no intervening features or elements present. It will also be understood that, when a feature or element is referred to as being “connected”, “attached” or “coupled” to another feature or element, it can be directly connected, attached or coupled to the other feature or element or intervening features or elements may be present. In contrast, when a feature or element is referred to as being “directly connected”, “directly attached” or “directly coupled” to another feature or element, there are no intervening features or elements present. Although described or shown with respect to one embodiment, the features and elements so described or shown can apply to other embodiments. It will also be appreciated by those of skill in the art that references to a structure or feature that is disposed “adjacent” another feature may have portions that overlap or underlie the adjacent feature.


Terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. For example, as used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items and may be abbreviated as “/”.


Spatially relative terms, such as “under”, “below”, “lower”, “over”, “upper” and the like, may be used herein for ease of description to describe one element or feature's relationship to another element(s) or feature(s) as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is inverted, elements described as “under” or “beneath” other elements or features would then be oriented “over” the other elements or features. Thus, the exemplary term “under” can encompass both an orientation of over and under. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly. Similarly, the terms “upwardly”, “downwardly”, “vertical”, “horizontal” and the like are used herein for the purpose of explanation only unless specifically indicated otherwise.


Although the terms “first” and “second” may be used herein to describe various features/elements (including steps), these features/elements should not be limited by these terms, unless the context indicates otherwise. These terms may be used to distinguish one feature/element from another feature/element. Thus, a first feature/element discussed below could be termed a second feature/element, and similarly, a second feature/element discussed below could be termed a first feature/element without departing from the teachings of the present invention.


Throughout this specification and the claims which follow, unless the context requires otherwise, the word “comprise”, and variations such as “comprises” and “comprising” means various components can be co-jointly employed in the methods and articles (e.g., compositions and apparatuses including device and methods). For example, the term “comprising” will be understood to imply the inclusion of any stated elements or steps but not the exclusion of any other elements or steps.


In general, any of the apparatuses and methods described herein should be understood to be inclusive, but all or a sub-set of the components and/or steps may alternatively be exclusive, and may be expressed as “consisting of” or alternatively “consisting essentially of” the various components, steps, sub-components or sub-steps.


As used herein in the specification and claims, including as used in the examples and unless otherwise expressly specified, all numbers may be read as if prefaced by the word “about” or “approximately,” even if the term does not expressly appear. The phrase “about” or “approximately” may be used when describing magnitude and/or position to indicate that the value and/or position described is within a reasonable expected range of values and/or positions. For example, a numeric value may have a value that is +/−0.1% of the stated value (or range of values), +/−1% of the stated value (or range of values), +/−2% of the stated value (or range of values), +/−5% of the stated value (or range of values), +/−10% of the stated value (or range of values), etc. Any numerical values given herein should also be understood to include about or approximately that value, unless the context indicates otherwise. For example, if the value “10” is disclosed, then “about 10” is also disclosed. Any numerical range recited herein is intended to include all sub-ranges subsumed therein. It is also understood that when a value is disclosed that “less than or equal to” the value, “greater than or equal to the value” and possible ranges between values are also disclosed, as appropriately understood by the skilled artisan. For example, if the value “X” is disclosed the “less than or equal to X” as well as “greater than or equal to X” (e.g., where X is a numerical value) is also disclosed. It is also understood that the throughout the application, data is provided in a number of different formats, and that this data, represents endpoints and starting points, and ranges for any combination of the data points. For example, if a particular data point “10” and a particular data point “15” are disclosed, it is understood that greater than, greater than or equal to, less than, less than or equal to, and equal to 10 and 15 are considered disclosed as well as between 10 and 15. It is also understood that each unit between two particular units are also disclosed. For example, if 10 and 15 are disclosed, then 11, 12, 13, and 14 are also disclosed.


Although various illustrative embodiments are described above, any of a number of changes may be made to various embodiments without departing from the scope of the invention as described by the claims. For example, the order in which various described method steps are performed may often be changed in alternative embodiments, and in other alternative embodiments one or more method steps may be skipped altogether. Optional features of various device and system embodiments may be included in some embodiments and not in others. Therefore, the foregoing description is provided primarily for exemplary purposes and should not be interpreted to limit the scope of the invention as it is set forth in the claims.


The examples and illustrations included herein show, by way of illustration and not of limitation, specific embodiments in which the subject matter may be practiced. As mentioned, other embodiments may be utilized and derived there from, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Such embodiments of the inventive subject matter may be referred to herein individually or collectively by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept, if more than one is, in fact, disclosed. Thus, although specific embodiments have been illustrated and described herein, any arrangement calculated to achieve the same purpose may be substituted for the specific embodiments shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, will be apparent to those of skill in the art upon reviewing the above description.

Claims
  • 1. A method of manufacturing a series of dental aligners using a financing server in communication with a putative patient, a dental aligner laboratory and a dental practitioner, the method comprising: receiving, from the putative patient, patient information and a request for financing of the series of dental aligners;pre-approving, the putative patient for a maximum financed amount and entering the patient information, a preapproval status, and the maximum financed amount into a database;transmitting an alert from the financing server to the dental aligner laboratory when the putative patient is pre-approved so that the dental aligner laboratory may prepare to manufacture aligners for the putative patient;receiving a preapproval status inquiry from the dental practitioner on behalf of the putative patient, and transmitting the preapproval status and the maximum financed amount from the database to the dental practitioner;receiving a treatment cost from the dental practitioner for treating the putative patient and including the treatment cost in the database;transmitting, from the financing server to the dental aligner laboratory, an alert when the treatment cost is received along with information identifying the dental practitioner;receiving, from the dental aligner laboratory, a laboratory cost;receiving, from the putative patient, acceptance of an actual financed amount and updating the database to indicate funding of the actual financed amount;transmitting an alert from the financing server to the dental aligner laboratory that the database has been updated to indicate funding of the actual financed amount so that the dental aligner laboratory may manufacture the series of dental aligners; andpaying, upon receiving notification from the dental aligner laboratory that the series of dental aligners has been sent, a first portion of the actual financed amount to the dental aligner laboratory and a second portion of the actual financed amount to the dental practitioner.
  • 2. The method of claim 1, wherein receiving the patient information and the request for financing, the treatment cost, the laboratory cost, and the acceptance of the actual financed amount comprises receiving in a remote processor.
  • 3. The method of claim 1, further comprising presenting to the putative patient a user interface on the putative patient's handheld mobile device that is configured to receive the patient information and a request for financing of the series of dental aligners, wherein the user interface communicates with a remote processor.
  • 4. The method of claim 1, wherein receiving the patient information comprises receiving one or more of: a patient identifying code identifying the putative patient, the putative patient's name, the putative patient's address, and the putative patient's age.
  • 5. The method of claim 1, further comprising adjusting the maximum financed amount at a request of the dental aligner laboratory, wherein the dental aligner laboratory calculates a treatment risk specific to the putative patient based on one or more of a scan of the putative patient's teeth and the patient information.
  • 6. The method of claim 1, further comprising allowing master access to the database for the dental aligner laboratory and client access to the database for the dental practitioner, wherein the master access may control the client access.
  • 7. The method of claim 1, wherein transmitting the alert to the dental aligner laboratory when the putative patient is pre-approved comprises transmitting the alert to the dental aligner laboratory so that dental aligner laboratory may prepare to manufacture aligners for the putative patient by preparing to receive dental information specific to the putative patient from the putative patient and/or the putative patient's dental practitioner.
  • 8. The method of claim 1, wherein transmitting the alert to the dental aligner laboratory when the putative patient is pre-approved comprises transmitting the alert to the dental aligner laboratory so that dental aligner laboratory may prepare to manufacture aligners for the putative patient by requesting dental information about the putative patient.
  • 9. The method of claim 8, wherein the requested dental information comprises one or more of: an image of the putative patient's teeth, a digital scan of the putative patient's teeth, and a copy of the putative patient's dental record.
  • 10. The method of claim 1, wherein transmitting the alert to the dental aligner laboratory when the putative patient is pre-approved comprises transmitting the alert to the dental aligner laboratory so that dental aligner laboratory may prepare to manufacture aligners for the putative patient by referring the putative patient to a dental practitioner.
  • 11. The method of claim 1, wherein receiving the laboratory cost comprises receiving laboratory costs based on an identity of the dental practitioner and/or based on dental information about the putative patient.
  • 12. The method of claim 1, further comprising providing, in a user interface on the putative patient's mobile device, a choice of financing options before receiving acceptance of the actual financed amount.
  • 13. A method of manufacturing a series of dental aligners using a remote financing server in communication with a putative patient, a dental aligner laboratory and a dental practitioner, the method comprising: receiving, from the putative patient, a request for financing of the series of dental aligners in a processor of the remote financing server having a database to which the dental aligner laboratory has master access and further to which the dental practitioner has client access, wherein the request for financing includes patient information specific to the putative patient;pre-approving the putative patient for a maximum financed amount and entering the patient information, a preapproval status, and the maximum financed amount into the database;transmitting an alert from the remote financing server to the dental aligner laboratory when the putative patient is pre-approved so that dental aligner laboratory may prepare to manufacture aligners for the putative patient;receiving a preapproval status inquiry from the dental practitioner on behalf of the putative patient, and transmitting from the remote financing server the preapproval status and the maximum financed amount from the database to the dental practitioner;receiving a treatment cost for treating the putative patient and including the treatment cost in the database;receiving a laboratory cost for treating the putative patient;receiving, from the putative patient, acceptance of an actual financed amount and updating the database to indicate funding of the actual financed amount;initiating manufacture of the series of dental aligners specific to the putative patient by transmitting an alert to a dental aligner laboratory that the actual financed amount has been funded;paying, following receipt of notification that the series of dental aligners has been completed and sent, a first portion of the actual financed amount to the dental aligner laboratory and a second portion of the actual financed amount to the dental practitioner.
  • 14. A method of manufacturing a series of dental aligners using a remote financing server and a dental aligner laboratory in communication with a putative patient and a dental practitioner, the method comprising: providing master access to a database of putative patient loan information of the remote financing server to the dental aligner laboratory;receiving, by the dental aligner laboratory, a notification from the remote financing server that the putative patient has requested or received pre-approval of a maximum financed amount for a dental aligner treatment and preparing to manufacture the series of dental aligners for the putative patient upon receiving the notification;receiving, by the dental aligner laboratory, an alert from the remote financing server when the remote financing server receives a treatment cost from the dental practitioner for the putative patient;calculating a laboratory cost for manufacturing the series of dental aligners for the putative patient and transmitting the laboratory cost to the remote financing server;receiving, by the dental aligner laboratory, an alert from the remote financing server that the remote financing server has funded an actual financed amount for the putative patient and thereafter initiating manufacture of the series of dental aligners specific to the putative patient; andtransmitting instructions from the dental aligner laboratory to the remote financing server to pay the treatment cost to the dental practitioner and to pay the laboratory cost to the dental aligner laboratory after the series of dental aligners has been completed and sent.
  • 15. The method of claim 14, wherein preparing to manufacture the series of dental aligners for the putative patient comprises preparing to receive dental information specific to the putative patient from the putative patient and/or the putative patient's dental practitioner.
  • 16. The method of claim 14, wherein preparing to manufacture the series of dental aligners for the putative patient comprises requesting dental information about the putative patient.
  • 17. The method of claim 16, wherein requesting the dental information comprises requesting one or more of: an image of the putative patient's teeth, a digital scan of the putative patient's teeth, and a copy of the putative patient's dental record.
  • 18. The method of claim 16, wherein requesting comprises requesting from a dental practitioner that is associated with the putative patient in the database of putative patient loan information.
  • 19. The method of claim 14, wherein preparing to manufacture the series of dental aligners for the putative patient comprises referring the putative patient to a dental practitioner.
  • 20. The method of claim 14, wherein receiving, by the dental aligner laboratory, an alert comprises receiving a request for laboratory cost.
  • 21. The method of claim 14, wherein calculating the laboratory cost for manufacturing the series of dental aligners for the putative patient is based a discount associated with the dental practitioner and/or the putative patient's dental information.
  • 22. The method of claim 14, further comprising transmitting, to the remote financing server from the dental aligner laboratory, an adjusted maximum financed amount based on a treatment risk for the putative patient.
  • 23. The method of claim 14, further comprising adjusting the maximum financed amount based on a treatment risk determined using patient dental information comprising one or more of: an image of the putative patient's teeth, and a digital scan of the putative patient's teeth.
CROSS REFERENCE TO RELATED APPLICATIONS

This patent application claims priority to U.S. Provisional Patent Application No. 62/533,625, filed on Jul. 17, 2017, which is herein incorporated by reference in its entirety.

US Referenced Citations (1059)
Number Name Date Kind
2171695 Harper Sep 1939 A
2194790 Gluck Mar 1940 A
2467432 Kesling Apr 1949 A
2531222 Kesling Nov 1950 A
3089487 Enicks et al. May 1963 A
3092907 Traiger Jun 1963 A
3178820 Kesling Apr 1965 A
3211143 Grossberg Oct 1965 A
3379193 Monsghan Apr 1968 A
3385291 Martin May 1968 A
3407500 Kesling Oct 1968 A
3478742 Bohlmann Nov 1969 A
3496936 Gores Feb 1970 A
3533163 Kirschenbaum Oct 1970 A
3556093 Quick Jan 1971 A
3600808 Reeve Aug 1971 A
3660900 Andrews May 1972 A
3683502 Wallshein Aug 1972 A
3724075 Kesling Apr 1973 A
3738005 Cohen et al. Jun 1973 A
3797115 Silverman et al. Mar 1974 A
3860803 Levine Jan 1975 A
3885310 Northcutt May 1975 A
3916526 Schudy Nov 1975 A
3922786 Lavin Dec 1975 A
3949477 Cohen et al. Apr 1976 A
3950851 Bergersen Apr 1976 A
3955282 McNall May 1976 A
3983628 Acevedo Oct 1976 A
4014096 Dellinger Mar 1977 A
4055895 Huge Nov 1977 A
4094068 Schinhammer Jun 1978 A
4117596 Wallshein Oct 1978 A
4129946 Kennedy Dec 1978 A
4134208 Pearlman Jan 1979 A
4139944 Bergersen Feb 1979 A
4179811 Hinz Dec 1979 A
4179812 White Dec 1979 A
4183141 Dellinger Jan 1980 A
4195046 Kesling Mar 1980 A
4204325 Kaelble May 1980 A
4253828 Coles et al. Mar 1981 A
4255138 Frohn Mar 1981 A
4299568 Crowley Nov 1981 A
4324546 Heitlinger et al. Apr 1982 A
4324547 Arcan et al. Apr 1982 A
4348178 Kurz Sep 1982 A
4368040 Weissman Jan 1983 A
4419992 Chorbajian Dec 1983 A
4433956 Witzig Feb 1984 A
4433960 Garito et al. Feb 1984 A
4439154 Mayclin Mar 1984 A
4449928 von Weissenfluh May 1984 A
4478580 Barrut Oct 1984 A
4500294 Lewis Feb 1985 A
4505672 Kurz Mar 1985 A
4505673 Yoshii Mar 1985 A
4519386 Sullivan May 1985 A
4523908 Drisaldi et al. Jun 1985 A
4526540 Dellinger Jul 1985 A
4553936 Wang Nov 1985 A
4575330 Hull Mar 1986 A
4575805 Moermann et al. Mar 1986 A
4591341 Andrews May 1986 A
4608021 Barrett Aug 1986 A
4609349 Cain Sep 1986 A
4611288 Duret et al. Sep 1986 A
4629424 Lauks et al. Dec 1986 A
4638145 Sakuma et al. Jan 1987 A
4656860 Orthuber et al. Apr 1987 A
4663720 Duret et al. May 1987 A
4664626 Kesling May 1987 A
4665621 Ackerman et al. May 1987 A
4676747 Kesling Jun 1987 A
4755139 Abbatte et al. Jul 1988 A
4757824 Chaumet Jul 1988 A
4763791 Halverson et al. Aug 1988 A
4764111 Knierim Aug 1988 A
4790752 Cheslak Dec 1988 A
4793803 Martz Dec 1988 A
4798534 Breads Jan 1989 A
4830612 Bergersen May 1989 A
4836778 Baumrind et al. Jun 1989 A
4837732 Brandestini et al. Jun 1989 A
4850864 Diamond Jul 1989 A
4850865 Napolitano Jul 1989 A
4856991 Breads et al. Aug 1989 A
4877398 Kesling Oct 1989 A
4880380 Martz Nov 1989 A
4886451 Cetlin Dec 1989 A
4889238 Batchelor Dec 1989 A
4890608 Steer Jan 1990 A
4932866 Guis Jun 1990 A
4935635 O'Harra Jun 1990 A
4936862 Walker et al. Jun 1990 A
4937928 van der Zel Jul 1990 A
4941826 Loran et al. Jul 1990 A
4952928 Carroll et al. Aug 1990 A
4964770 Steinbichler et al. Oct 1990 A
4971557 Martin Nov 1990 A
4975052 Spencer et al. Dec 1990 A
4983334 Adell Jan 1991 A
4997369 Shafir Mar 1991 A
5002485 Aagesen Mar 1991 A
5011405 Lemchen Apr 1991 A
5015183 Fenick May 1991 A
5017133 Miura May 1991 A
5018969 Andreiko et al. May 1991 A
5027281 Rekow et al. Jun 1991 A
5035613 Breads et al. Jul 1991 A
5037295 Bergersen Aug 1991 A
5055039 Abbatte et al. Oct 1991 A
5061839 Matsuno et al. Oct 1991 A
5083919 Quachi Jan 1992 A
5094614 Wildman Mar 1992 A
5100316 Wildman Mar 1992 A
5103838 Yousif Apr 1992 A
5114339 Guis May 1992 A
5121333 Riley et al. Jun 1992 A
5123425 Shannon et al. Jun 1992 A
5128870 Erdman et al. Jul 1992 A
5130064 Smalley et al. Jul 1992 A
5131843 Hilgers et al. Jul 1992 A
5131844 Marinaccio et al. Jul 1992 A
5139419 Andreiko et al. Aug 1992 A
5145364 Martz et al. Sep 1992 A
5176517 Truax Jan 1993 A
5194003 Garay et al. Mar 1993 A
5204670 Stinton Apr 1993 A
5222499 Allen et al. Jun 1993 A
5224049 Mushabac Jun 1993 A
5238404 Andreiko Aug 1993 A
5242304 Truax et al. Sep 1993 A
5245592 Kuemmel et al. Sep 1993 A
5273429 Rekow et al. Dec 1993 A
5278756 Lemchen et al. Jan 1994 A
5306144 Hibst et al. Apr 1994 A
5314335 Fung May 1994 A
5324186 Bakanowski Jun 1994 A
5328362 Watson et al. Jul 1994 A
5335657 Terry et al. Aug 1994 A
5338198 Wu et al. Aug 1994 A
5340309 Robertson Aug 1994 A
5342202 Deshayes Aug 1994 A
5344315 Hanson Sep 1994 A
5368478 Andreiko et al. Nov 1994 A
5372502 Massen et al. Dec 1994 A
D354355 Hilgers Jan 1995 S
5382164 Stern Jan 1995 A
5395238 Andreiko et al. Mar 1995 A
5415542 Kesling May 1995 A
5431562 Andreiko et al. Jul 1995 A
5440326 Quinn Aug 1995 A
5440496 Andersson et al. Aug 1995 A
5447432 Andreiko et al. Sep 1995 A
5449703 Mitra et al. Sep 1995 A
5452219 Dehoff et al. Sep 1995 A
5454717 Andreiko et al. Oct 1995 A
5456600 Andreiko et al. Oct 1995 A
5474448 Andreiko et al. Dec 1995 A
5487662 Kipke et al. Jan 1996 A
RE35169 Lemchen et al. Mar 1996 E
5499633 Fenton Mar 1996 A
5522725 Jordan et al. Jun 1996 A
5528735 Strasnick et al. Jun 1996 A
5533895 Andreiko et al. Jul 1996 A
5540732 Testerman Jul 1996 A
5542842 Andreiko et al. Aug 1996 A
5543780 McAuley et al. Aug 1996 A
5549476 Stern Aug 1996 A
5562448 Mushabac Oct 1996 A
5570182 Nathel et al. Oct 1996 A
5575655 Darnell Nov 1996 A
5583977 Seidl Dec 1996 A
5587912 Andersson et al. Dec 1996 A
5588098 Chen et al. Dec 1996 A
5605459 Kuroda et al. Feb 1997 A
5607305 Andersson et al. Mar 1997 A
5614075 Andre Mar 1997 A
5621648 Crump Apr 1997 A
5626537 Danyo et al. May 1997 A
5636736 Jacobs et al. Jun 1997 A
5645420 Bergersen Jul 1997 A
5645421 Slootsky Jul 1997 A
5651671 Seay et al. Jul 1997 A
5655653 Chester Aug 1997 A
5659420 Wakai et al. Aug 1997 A
5683243 Andreiko et al. Nov 1997 A
5683244 Truax Nov 1997 A
5691539 Pfeiffer Nov 1997 A
5692894 Schwartz et al. Dec 1997 A
5711665 Adam et al. Jan 1998 A
5711666 Hanson Jan 1998 A
5725376 Poirier Mar 1998 A
5725378 Wang Mar 1998 A
5730151 Summer et al. Mar 1998 A
5737084 Ishihara Apr 1998 A
5740267 Echerer et al. Apr 1998 A
5742700 Yoon et al. Apr 1998 A
5769631 Williams Jun 1998 A
5774425 Ivanov et al. Jun 1998 A
5790242 Stern et al. Aug 1998 A
5799100 Clarke et al. Aug 1998 A
5800162 Shimodaira et al. Sep 1998 A
5800174 Andersson Sep 1998 A
5813854 Nikodem Sep 1998 A
5816800 Brehm et al. Oct 1998 A
5818587 Devaraj et al. Oct 1998 A
5823778 Schmitt et al. Oct 1998 A
5848115 Little et al. Dec 1998 A
5857853 Van Nifterick et al. Jan 1999 A
5866058 Batchelder et al. Feb 1999 A
5876199 Bergersen Mar 1999 A
5879158 Doyle et al. Mar 1999 A
5880961 Crump Mar 1999 A
5880962 Andersson et al. Mar 1999 A
5882192 Bergersen Mar 1999 A
5886702 Migdal et al. Mar 1999 A
5890896 Padial Apr 1999 A
5904479 Staples May 1999 A
5934288 Avila et al. Aug 1999 A
5957686 Anthony Sep 1999 A
5964587 Sato Oct 1999 A
5971754 Sondhi et al. Oct 1999 A
5975893 Chishti et al. Nov 1999 A
5975906 Knutson Nov 1999 A
5980246 Ramsay et al. Nov 1999 A
5989023 Summer et al. Nov 1999 A
6002706 Staver et al. Dec 1999 A
6018713 Coll et al. Jan 2000 A
6044309 Honda Mar 2000 A
6049743 Baba Apr 2000 A
6053731 Heckenberger Apr 2000 A
6068482 Snow May 2000 A
6070140 Tran May 2000 A
6099303 Gibbs et al. Aug 2000 A
6099314 Kopelman et al. Aug 2000 A
6102701 Engeron Aug 2000 A
6120287 Chen Sep 2000 A
6123544 Cleary Sep 2000 A
6152731 Jordan et al. Nov 2000 A
6154676 Levine Nov 2000 A
6183248 Chishti et al. Feb 2001 B1
6183249 Brennan et al. Feb 2001 B1
6186780 Hibst et al. Feb 2001 B1
6190165 Andreiko et al. Feb 2001 B1
6200133 Kittelsen Mar 2001 B1
6201880 Elbaum et al. Mar 2001 B1
6210162 Chishti et al. Apr 2001 B1
6212435 Lattner et al. Apr 2001 B1
6213767 Dixon et al. Apr 2001 B1
6217334 Hultgren Apr 2001 B1
6227850 Chishti et al. May 2001 B1
6231338 de Josselin de Jong et al. May 2001 B1
6239705 Glen May 2001 B1
6243601 Wist Jun 2001 B1
6263234 Engelhardt et al. Jul 2001 B1
6283761 Joao Sep 2001 B1
6288138 Yamamoto Sep 2001 B1
6299438 Sahagian et al. Oct 2001 B1
6309215 Phan et al. Oct 2001 B1
6313432 Nagata et al. Nov 2001 B1
6315553 Sachdeva et al. Nov 2001 B1
6328745 Ascherman Dec 2001 B1
6332774 Chikami Dec 2001 B1
6334073 Levine Dec 2001 B1
6350120 Sachdeva et al. Feb 2002 B1
6364660 Durbin et al. Apr 2002 B1
6382975 Poirier May 2002 B1
6386878 Pavlovskaia et al. May 2002 B1
6394802 Hahn May 2002 B1
6402510 Williams Jun 2002 B1
6402707 Ernst Jun 2002 B1
6405729 Thornton Jun 2002 B1
6406292 Chishti et al. Jun 2002 B1
6409504 Jones et al. Jun 2002 B1
6413086 Womack Jul 2002 B1
6414264 von Falkenhausen Jul 2002 B1
6414708 Carmeli et al. Jul 2002 B1
6435871 Inman Aug 2002 B1
6436058 Krahner et al. Aug 2002 B1
6441354 Seghatol et al. Aug 2002 B1
6450167 David et al. Sep 2002 B1
6450807 Chishti et al. Sep 2002 B1
6462301 Scott et al. Oct 2002 B1
6470338 Rizzo et al. Oct 2002 B1
6471511 Chishti et al. Oct 2002 B1
6471512 Sachdeva et al. Oct 2002 B1
6471970 Fanara et al. Oct 2002 B1
6482002 Jordan et al. Nov 2002 B2
6482298 Bhatnagar Nov 2002 B1
6496814 Busche Dec 2002 B1
6496816 Thiesson et al. Dec 2002 B1
6499026 Rivette et al. Dec 2002 B1
6499995 Schwartz Dec 2002 B1
6507832 Evans et al. Jan 2003 B1
6514074 Chishti et al. Feb 2003 B1
6515593 Stark et al. Feb 2003 B1
6516288 Bagne Feb 2003 B2
6516805 Thornton Feb 2003 B1
6520772 Williams Feb 2003 B2
6523009 Wilkins Feb 2003 B1
6523019 Borthwick Feb 2003 B1
6524101 Phan et al. Feb 2003 B1
6526168 Ornes et al. Feb 2003 B1
6526982 Strong Mar 2003 B1
6529891 Heckerman Mar 2003 B1
6529902 Kanevsky et al. Mar 2003 B1
6532455 Martin et al. Mar 2003 B1
6535865 Skaaning et al. Mar 2003 B1
6540512 Sachdeva et al. Apr 2003 B1
6540707 Stark et al. Apr 2003 B1
6542593 Bowman Amuah Apr 2003 B1
6542881 Meidan et al. Apr 2003 B1
6542894 Lee et al. Apr 2003 B1
6542903 Hull et al. Apr 2003 B2
6551243 Bocionek et al. Apr 2003 B2
6554837 Hauri et al. Apr 2003 B1
6556659 Bowman Amuah Apr 2003 B1
6556977 Lapointe et al. Apr 2003 B1
6560592 Reid et al. May 2003 B1
6564209 Dempski et al. May 2003 B1
6567814 Bankier et al. May 2003 B1
6571227 Agrafiotis et al. May 2003 B1
6572372 Phan et al. Jun 2003 B1
6573998 Cohen Sabban Jun 2003 B2
6574561 Alexander et al. Jun 2003 B2
6578003 Camarda et al. Jun 2003 B1
6580948 Haupert et al. Jun 2003 B2
6587529 Staszewski et al. Jul 2003 B1
6587828 Sachdeva Jul 2003 B1
6592368 Weathers Jul 2003 B1
6594539 Geng Jul 2003 B1
6595342 Maritzen et al. Jul 2003 B1
6597934 de Jong et al. Jul 2003 B1
6598043 Baclawski Jul 2003 B1
6599250 Webb et al. Jul 2003 B2
6602070 Miller et al. Aug 2003 B2
6604527 Palmisano Aug 2003 B1
6606744 Mikurak Aug 2003 B1
6607382 Kuo et al. Aug 2003 B1
6611783 Kelly et al. Aug 2003 B2
6611867 Bowman Amuah Aug 2003 B1
6613001 Dworkin Sep 2003 B1
6615158 Wenzel et al. Sep 2003 B2
6616447 Rizoiu et al. Sep 2003 B1
6616579 Reinbold et al. Sep 2003 B1
6621491 Baumrind et al. Sep 2003 B1
6623698 Kuo Sep 2003 B2
6624752 Klitsgaard et al. Sep 2003 B2
6626180 Kittelsen et al. Sep 2003 B1
6626569 Reinstein et al. Sep 2003 B2
6626669 Zegarelli Sep 2003 B2
6633772 Ford et al. Oct 2003 B2
6640128 Vilsmeier et al. Oct 2003 B2
6643646 Su et al. Nov 2003 B2
6647383 August et al. Nov 2003 B1
6650944 Goedeke et al. Nov 2003 B2
6671818 Mikurak Dec 2003 B1
6675104 Paulse et al. Jan 2004 B2
6678669 Lapointe et al. Jan 2004 B2
6682346 Chishti et al. Jan 2004 B2
6685469 Chishti et al. Feb 2004 B2
6689055 Mullen et al. Feb 2004 B1
6690761 Lang et al. Feb 2004 B2
6691110 Wang et al. Feb 2004 B2
6694234 Lockwood et al. Feb 2004 B2
6697164 Babayoff et al. Feb 2004 B1
6697793 McGreevy Feb 2004 B2
6702765 Robbins et al. Mar 2004 B2
6702804 Ritter et al. Mar 2004 B1
6705863 Phan et al. Mar 2004 B2
6729876 Chishti et al. May 2004 B2
6733289 Manemann et al. May 2004 B2
6736638 Sachdeva et al. May 2004 B1
6739869 Taub et al. May 2004 B1
6744932 Rubbert et al. Jun 2004 B1
6749414 Hanson et al. Jun 2004 B1
6769913 Hurson Aug 2004 B2
6772026 Bradbury et al. Aug 2004 B2
6790036 Graham Sep 2004 B2
6802713 Chishti et al. Oct 2004 B1
6814574 Abolfathi et al. Nov 2004 B2
6830450 Knopp et al. Dec 2004 B2
6832912 Mao Dec 2004 B2
6832914 Bonnet et al. Dec 2004 B1
6843370 Tuneberg Jan 2005 B2
6845175 Kopelman et al. Jan 2005 B2
6885464 Pfeiffer et al. Apr 2005 B1
6890285 Rahman et al. May 2005 B2
6951254 Morrison Oct 2005 B2
6976841 Osterwalder Dec 2005 B1
6978268 Thomas et al. Dec 2005 B2
6983752 Garabadian Jan 2006 B2
6984128 Breining et al. Jan 2006 B2
6988893 Haywood Jan 2006 B2
7016952 Mullen et al. Mar 2006 B2
7020963 Cleary et al. Apr 2006 B2
7036514 Heck May 2006 B2
7040896 Pavlovskaia et al. May 2006 B2
7106233 Schroeder et al. Sep 2006 B2
7112065 Kopelman et al. Sep 2006 B2
7121825 Chishti et al. Oct 2006 B2
7134874 Chishti et al. Nov 2006 B2
7137812 Cleary et al. Nov 2006 B2
7138640 Delgado et al. Nov 2006 B1
7140877 Kaza Nov 2006 B2
7142312 Quadling et al. Nov 2006 B2
7155373 Jordan et al. Dec 2006 B2
7156655 Sachdeva et al. Jan 2007 B2
7156661 Choi et al. Jan 2007 B2
7166063 Rahman et al. Jan 2007 B2
7184150 Quadling et al. Feb 2007 B2
7191451 Nakagawa Mar 2007 B2
7192273 McSurdy Mar 2007 B2
7217131 Vuillemot May 2007 B2
7220122 Chishti May 2007 B2
7220124 Taub et al. May 2007 B2
7229282 Andreiko et al. Jun 2007 B2
7234937 Sachdeva et al. Jun 2007 B2
7241142 Abolfathi et al. Jul 2007 B2
7244230 Duggirala et al. Jul 2007 B2
7245753 Squilla et al. Jul 2007 B2
7257136 Mori et al. Aug 2007 B2
7286954 Kopelman et al. Oct 2007 B2
7292759 Boutoussov et al. Nov 2007 B2
7294141 Bergersen Nov 2007 B2
7302842 Biester et al. Dec 2007 B2
7320592 Chishti et al. Jan 2008 B2
7328706 Barach et al. Feb 2008 B2
7329122 Scott Feb 2008 B1
7338327 Sticker et al. Mar 2008 B2
D565509 Fechner et al. Apr 2008 S
7351116 Dold Apr 2008 B2
7354270 Abolfathi et al. Apr 2008 B2
7357637 Liechtung Apr 2008 B2
7435083 Chishti et al. Oct 2008 B2
7450231 Johs et al. Nov 2008 B2
7458810 Bergersen Dec 2008 B2
7460230 Johs et al. Dec 2008 B2
7462076 Walter et al. Dec 2008 B2
7463929 Simmons Dec 2008 B2
7476100 Kuo Jan 2009 B2
7500851 Williams Mar 2009 B2
D594413 Palka et al. Jun 2009 S
7543511 Kimura et al. Jun 2009 B2
7544103 Walter et al. Jun 2009 B2
7553157 Abolfathi et al. Jun 2009 B2
7561273 Stautmeister et al. Jul 2009 B2
7577284 Wong et al. Aug 2009 B2
7596253 Wong et al. Sep 2009 B2
7597594 Stadler et al. Oct 2009 B2
7609875 Liu et al. Oct 2009 B2
D603796 Sticker et al. Nov 2009 S
7616319 Woollam et al. Nov 2009 B1
7626705 Altendorf Dec 2009 B2
7632216 Rahman et al. Dec 2009 B2
7633625 Woollam et al. Dec 2009 B1
7637262 Bailey Dec 2009 B2
7637740 Knopp Dec 2009 B2
7641473 Sporbert et al. Jan 2010 B2
7668355 Wong et al. Feb 2010 B2
7670179 Müller Mar 2010 B2
7695327 Bäuerle et al. Apr 2010 B2
7698068 Babayoff Apr 2010 B2
7711447 Lu et al. May 2010 B2
7724378 Babayoff May 2010 B2
D618619 Walter Jun 2010 S
7728848 Petrov et al. Jun 2010 B2
7731508 Borst Jun 2010 B2
7735217 Borst Jun 2010 B2
7740476 Rubbert et al. Jun 2010 B2
7744369 Imgrund et al. Jun 2010 B2
7746339 Matov et al. Jun 2010 B2
7780460 Walter Aug 2010 B2
7787132 Körner et al. Aug 2010 B2
7791810 Powell Sep 2010 B2
7796243 Choo-Smith et al. Sep 2010 B2
7806687 Minagi et al. Oct 2010 B2
7806727 Dold et al. Oct 2010 B2
7813787 de Josselin de Jong et al. Oct 2010 B2
7824180 Abolfathi et al. Nov 2010 B2
7828601 Pyczak Nov 2010 B2
7841464 Cinader et al. Nov 2010 B2
7845969 Stadler et al. Dec 2010 B2
7854609 Chen et al. Dec 2010 B2
7862336 Kopelman et al. Jan 2011 B2
7869983 Raby et al. Jan 2011 B2
7872760 Ertl Jan 2011 B2
7874836 McSurdy Jan 2011 B2
7874837 Chishti et al. Jan 2011 B2
7874849 Sticker et al. Jan 2011 B2
7878801 Abolfathi et al. Feb 2011 B2
7878805 Moss et al. Feb 2011 B2
7880751 Kuo et al. Feb 2011 B2
7892474 Shkolnik et al. Feb 2011 B2
7904308 Arnone et al. Mar 2011 B2
7907280 Johs et al. Mar 2011 B2
7929151 Liang et al. Apr 2011 B2
7930189 Kuo Apr 2011 B2
7947508 Tricca et al. May 2011 B2
7959308 Freeman et al. Jun 2011 B2
7963766 Cronauer Jun 2011 B2
7970627 Kuo et al. Jun 2011 B2
7985414 Knaack et al. Jul 2011 B2
7986415 Thiel et al. Jul 2011 B2
7987099 Kuo et al. Jul 2011 B2
7991485 Zakim Aug 2011 B2
8017891 Nevin Sep 2011 B2
8026916 Wen Sep 2011 B2
8027709 Arnone et al. Sep 2011 B2
8029277 Imgrund et al. Oct 2011 B2
8038444 Kitching et al. Oct 2011 B2
8045772 Kosuge et al. Oct 2011 B2
8054556 Chen et al. Nov 2011 B2
8070490 Roetzer et al. Dec 2011 B1
8075306 Kitching et al. Dec 2011 B2
8077949 Liang et al. Dec 2011 B2
8083556 Stadler et al. Dec 2011 B2
D652799 Mueller Jan 2012 S
8092215 Stone-Collonge et al. Jan 2012 B2
8095383 Arnone et al. Jan 2012 B2
8099268 Kitching et al. Jan 2012 B2
8099305 Kuo et al. Jan 2012 B2
8118592 Tortorici Feb 2012 B2
8126025 Takeda Feb 2012 B2
8136529 Kelly Mar 2012 B2
8144954 Quadling et al. Mar 2012 B2
8160334 Thiel et al. Apr 2012 B2
8172569 Matty et al. May 2012 B2
8197252 Harrison Jun 2012 B1
8201560 Dembro Jun 2012 B2
8215312 Garabadian et al. Jul 2012 B2
8240018 Walter et al. Aug 2012 B2
8275180 Kuo Sep 2012 B2
8279450 Oota et al. Oct 2012 B2
8292617 Brandt et al. Oct 2012 B2
8294657 Kim et al. Oct 2012 B2
8296952 Greenberg Oct 2012 B2
8297286 Smernoff Oct 2012 B2
8306608 Mandelis et al. Nov 2012 B2
8314764 Kim et al. Nov 2012 B2
8332015 Ertl Dec 2012 B2
8354588 Sticker et al. Jan 2013 B2
8366479 Borst et al. Feb 2013 B2
8401826 Cheng et al. Mar 2013 B2
8419428 Lawrence Apr 2013 B2
8433083 Abolfathi et al. Apr 2013 B2
8439672 Matov et al. May 2013 B2
8465280 Sachdeva et al. Jun 2013 B2
8477320 Stock et al. Jul 2013 B2
8488113 Thiel et al. Jul 2013 B2
8517726 Kakavand et al. Aug 2013 B2
8520922 Wang et al. Aug 2013 B2
8520925 Duret et al. Aug 2013 B2
8523565 Matty et al. Sep 2013 B2
8545221 Stone-Collonge et al. Oct 2013 B2
8556625 Lovely Oct 2013 B2
8570530 Liang Oct 2013 B2
8573224 Thornton Nov 2013 B2
8577212 Thiel Nov 2013 B2
8601925 Coto Dec 2013 B1
8639477 Chelnokov et al. Jan 2014 B2
8650586 Lee et al. Feb 2014 B2
8675706 Seurin et al. Mar 2014 B2
8723029 Pyczak et al. May 2014 B2
8738394 Kuo May 2014 B2
8743923 Geske et al. Jun 2014 B2
8753114 Vuillemot Jun 2014 B2
8767270 Curry et al. Jul 2014 B2
8768016 Pan et al. Jul 2014 B2
8771149 Rahman et al. Jul 2014 B2
8839476 Adachi Sep 2014 B2
8843381 Kuo et al. Sep 2014 B2
8856053 Mah Oct 2014 B2
8870566 Bergersen Oct 2014 B2
8874452 Kuo Oct 2014 B2
8878905 Fisker et al. Nov 2014 B2
8899976 Chen et al. Dec 2014 B2
8936463 Mason et al. Jan 2015 B2
8944812 Kou Feb 2015 B2
8948482 Levin Feb 2015 B2
8956058 Rösch Feb 2015 B2
8992216 Karazivan Mar 2015 B2
9004915 Moss et al. Apr 2015 B2
9022792 Sticker et al. May 2015 B2
9039418 Rubbert May 2015 B1
9084535 Girkin et al. Jul 2015 B2
9084657 Matty et al. Jul 2015 B2
9108338 Sirovskiy et al. Aug 2015 B2
9144512 Wagner Sep 2015 B2
9192305 Levin Nov 2015 B2
9204952 Lampalzer Dec 2015 B2
9211166 Kuo et al. Dec 2015 B2
9214014 Levin Dec 2015 B2
9220580 Borovinskih et al. Dec 2015 B2
9241774 Li et al. Jan 2016 B2
9242118 Brawn Jan 2016 B2
9261358 Atiya et al. Feb 2016 B2
9277972 Brandt et al. Mar 2016 B2
9336336 Deichmann et al. May 2016 B2
9351810 Moon May 2016 B2
9375300 Matov et al. Jun 2016 B2
9403238 Culp Aug 2016 B2
9408743 Wagner Aug 2016 B1
9414897 Wu et al. Aug 2016 B2
9433476 Khardekar et al. Sep 2016 B2
9439568 Atiya et al. Sep 2016 B2
9444981 Bellis et al. Sep 2016 B2
9463287 Lorberbaum et al. Oct 2016 B1
9492243 Kuo Nov 2016 B2
9500635 Islam Nov 2016 B2
9506808 Jeon et al. Nov 2016 B2
9510918 Sanchez Dec 2016 B2
9545331 Ingemarsson-Matzen Jan 2017 B2
9566132 Stone-Collonge et al. Feb 2017 B2
9584771 Mandelis et al. Feb 2017 B2
9589329 Levin Mar 2017 B2
9675427 Kopelman Jun 2017 B2
9675430 Verker et al. Jun 2017 B2
9693839 Atiya et al. Jul 2017 B2
9730769 Chen et al. Aug 2017 B2
9744006 Ross Aug 2017 B2
9820829 Kuo Nov 2017 B2
9830688 Levin Nov 2017 B2
9844421 Moss et al. Dec 2017 B2
9848985 Yang et al. Dec 2017 B2
9861451 Davis Jan 2018 B1
9936186 Jesenko et al. Apr 2018 B2
10123853 Moss et al. Nov 2018 B2
10154889 Chen et al. Dec 2018 B2
10159541 Bindayel Dec 2018 B2
10172693 Brandt et al. Jan 2019 B2
10195690 Culp Feb 2019 B2
10231801 Korytov et al. Mar 2019 B2
10238472 Levin Mar 2019 B2
10258432 Webber Apr 2019 B2
20010002310 Chishti et al. May 2001 A1
20010032100 Mahmud et al. Oct 2001 A1
20010038705 Rubbert et al. Nov 2001 A1
20010041320 Phan et al. Nov 2001 A1
20020004727 Knaus et al. Jan 2002 A1
20020007284 Schurenberg et al. Jan 2002 A1
20020010568 Rubbert et al. Jan 2002 A1
20020015934 Rubbert et al. Feb 2002 A1
20020025503 Chapoulaud et al. Feb 2002 A1
20020026105 Drazen Feb 2002 A1
20020028417 Chapoulaud et al. Mar 2002 A1
20020035572 Takatori et al. Mar 2002 A1
20020064752 Durbin et al. May 2002 A1
20020064759 Durbin et al. May 2002 A1
20020087551 Hickey et al. Jul 2002 A1
20020107853 Hofmann et al. Aug 2002 A1
20020188478 Breeland et al. Dec 2002 A1
20020192617 Phan et al. Dec 2002 A1
20030000927 Kanaya et al. Jan 2003 A1
20030009252 Pavlovskaia et al. Jan 2003 A1
20030019848 Nicholas et al. Jan 2003 A1
20030021453 Weise et al. Jan 2003 A1
20030035061 Iwaki et al. Feb 2003 A1
20030049581 Deluke Mar 2003 A1
20030057192 Patel Mar 2003 A1
20030059736 Lai et al. Mar 2003 A1
20030060532 Subelka et al. Mar 2003 A1
20030068598 Vallittu et al. Apr 2003 A1
20030095697 Wood et al. May 2003 A1
20030101079 McLaughlin May 2003 A1
20030103060 Anderson et al. Jun 2003 A1
20030120517 Eida et al. Jun 2003 A1
20030139834 Nikolskiy et al. Jul 2003 A1
20030144886 Taira Jul 2003 A1
20030172043 Guyon et al. Sep 2003 A1
20030190575 Hilliard Oct 2003 A1
20030192867 Yamazaki et al. Oct 2003 A1
20030207224 Lotte Nov 2003 A1
20030215764 Kopelman et al. Nov 2003 A1
20030224311 Cronauer Dec 2003 A1
20030224313 Bergersen Dec 2003 A1
20030224314 Bergersen Dec 2003 A1
20040002873 Sachdeva Jan 2004 A1
20040009449 Mah et al. Jan 2004 A1
20040013994 Goldberg et al. Jan 2004 A1
20040019262 Perelgut Jan 2004 A1
20040029078 Marshall Feb 2004 A1
20040038168 Choi et al. Feb 2004 A1
20040054304 Raby Mar 2004 A1
20040054358 Cox et al. Mar 2004 A1
20040058295 Bergersen Mar 2004 A1
20040068199 Echauz et al. Apr 2004 A1
20040078222 Khan et al. Apr 2004 A1
20040080621 Fisher et al. Apr 2004 A1
20040094165 Cook May 2004 A1
20040107118 Harnsberger et al. Jun 2004 A1
20040133083 Comaniciu et al. Jul 2004 A1
20040152036 Abolfathi Aug 2004 A1
20040158194 Wolff et al. Aug 2004 A1
20040166463 Wen et al. Aug 2004 A1
20040167646 Jelonek et al. Aug 2004 A1
20040170941 Phan et al. Sep 2004 A1
20040193036 Zhou et al. Sep 2004 A1
20040197728 Abolfathi et al. Oct 2004 A1
20040214128 Sachdeva et al. Oct 2004 A1
20040219479 Malin et al. Nov 2004 A1
20040220691 Hofmeister et al. Nov 2004 A1
20040229185 Knopp Nov 2004 A1
20040259049 Kopelman et al. Dec 2004 A1
20050003318 Choi et al. Jan 2005 A1
20050023356 Wiklof et al. Feb 2005 A1
20050031196 Moghaddam et al. Feb 2005 A1
20050037312 Uchida Feb 2005 A1
20050038669 Sachdeva et al. Feb 2005 A1
20050040551 Biegler et al. Feb 2005 A1
20050042569 Plan et al. Feb 2005 A1
20050042577 Kvitrud et al. Feb 2005 A1
20050048433 Hilliard Mar 2005 A1
20050074717 Cleary et al. Apr 2005 A1
20050089822 Geng Apr 2005 A1
20050100333 Kerschbaumer et al. May 2005 A1
20050108052 Omaboe May 2005 A1
20050131738 Morris Jun 2005 A1
20050144150 Ramamurthy et al. Jun 2005 A1
20050171594 Machan et al. Aug 2005 A1
20050171630 Dinauer et al. Aug 2005 A1
20050181333 Karazivan et al. Aug 2005 A1
20050186524 Abolfathi et al. Aug 2005 A1
20050186526 Stewart et al. Aug 2005 A1
20050216314 Secor Sep 2005 A1
20050233276 Kopelman et al. Oct 2005 A1
20050239013 Sachdeva Oct 2005 A1
20050244781 Abels et al. Nov 2005 A1
20050244791 Davis et al. Nov 2005 A1
20050271996 Sporbert et al. Dec 2005 A1
20060056670 Hamadeh Mar 2006 A1
20060057533 McGann Mar 2006 A1
20060063135 Mehl Mar 2006 A1
20060078842 Sachdeva et al. Apr 2006 A1
20060084024 Farrell Apr 2006 A1
20060093982 Wen May 2006 A1
20060098007 Rouet et al. May 2006 A1
20060099545 Lia et al. May 2006 A1
20060099546 Bergersen May 2006 A1
20060110698 Robson May 2006 A1
20060111631 Kelliher et al. May 2006 A1
20060115785 Li et al. Jun 2006 A1
20060137813 Robrecht et al. Jun 2006 A1
20060147872 Andreiko Jul 2006 A1
20060154198 Durbin et al. Jul 2006 A1
20060154207 Kuo Jul 2006 A1
20060173715 Wang Aug 2006 A1
20060183082 Quadling et al. Aug 2006 A1
20060188834 Hilliard Aug 2006 A1
20060188848 Tricca et al. Aug 2006 A1
20060194163 Tricca et al. Aug 2006 A1
20060199153 Liu et al. Sep 2006 A1
20060204078 Orth et al. Sep 2006 A1
20060223022 Solomon Oct 2006 A1
20060223023 Lai et al. Oct 2006 A1
20060223032 Fried et al. Oct 2006 A1
20060223342 Borst et al. Oct 2006 A1
20060234179 Wen et al. Oct 2006 A1
20060257815 De Dominicis Nov 2006 A1
20060275729 Fornoff Dec 2006 A1
20060275731 Wen et al. Dec 2006 A1
20060275736 Wen et al. Dec 2006 A1
20060277075 Salwan Dec 2006 A1
20060290693 Zhou et al. Dec 2006 A1
20060292520 Dillon et al. Dec 2006 A1
20070031775 Andreiko Feb 2007 A1
20070046865 Umeda et al. Mar 2007 A1
20070053048 Kumar et al. Mar 2007 A1
20070054237 Neuschafer Mar 2007 A1
20070065768 Nadav Mar 2007 A1
20070087300 Willison et al. Apr 2007 A1
20070087302 Reising et al. Apr 2007 A1
20070106138 Beiski et al. May 2007 A1
20070122592 Anderson et al. May 2007 A1
20070128574 Kuo et al. Jun 2007 A1
20070141525 Cinader, Jr. Jun 2007 A1
20070141526 Eisenberg et al. Jun 2007 A1
20070143135 Lindquist et al. Jun 2007 A1
20070168152 Matov et al. Jul 2007 A1
20070172112 Paley et al. Jul 2007 A1
20070172291 Yokoyama Jul 2007 A1
20070178420 Keski-Nisula et al. Aug 2007 A1
20070183633 Hoffmann Aug 2007 A1
20070184402 Boutoussov et al. Aug 2007 A1
20070185732 Hicks et al. Aug 2007 A1
20070192137 Ombrellaro Aug 2007 A1
20070199929 Rippl et al. Aug 2007 A1
20070215582 Roeper et al. Sep 2007 A1
20070218422 Ehrenfeld Sep 2007 A1
20070231765 Phan et al. Oct 2007 A1
20070238065 Sherwood et al. Oct 2007 A1
20070239488 DeRosso Oct 2007 A1
20070263226 Kurtz et al. Nov 2007 A1
20080013727 Uemura Jan 2008 A1
20080020350 Matov et al. Jan 2008 A1
20080045053 Stadler et al. Feb 2008 A1
20080057461 Cheng et al. Mar 2008 A1
20080057467 Gittelson Mar 2008 A1
20080057479 Grenness Mar 2008 A1
20080059238 Park et al. Mar 2008 A1
20080090208 Rubbert Apr 2008 A1
20080094389 Rouet et al. Apr 2008 A1
20080113317 Kemp et al. May 2008 A1
20080115791 Heine May 2008 A1
20080118882 Su May 2008 A1
20080118886 Liang et al. May 2008 A1
20080141534 Hilliard Jun 2008 A1
20080171934 Greenan et al. Jul 2008 A1
20080176448 Muller et al. Jul 2008 A1
20080233530 Cinader Sep 2008 A1
20080242144 Dietz Oct 2008 A1
20080248443 Chishti et al. Oct 2008 A1
20080254403 Hilliard Oct 2008 A1
20080268400 Moss et al. Oct 2008 A1
20080306724 Kitching et al. Dec 2008 A1
20090029310 Pumphrey et al. Jan 2009 A1
20090030290 Kozuch et al. Jan 2009 A1
20090030347 Cao Jan 2009 A1
20090040740 Muller et al. Feb 2009 A1
20090061379 Yamamoto et al. Mar 2009 A1
20090061381 Durbin et al. Mar 2009 A1
20090075228 Kumada et al. Mar 2009 A1
20090087050 Gandyra Apr 2009 A1
20090098502 Andreiko Apr 2009 A1
20090099445 Burger Apr 2009 A1
20090103579 Ushimaru et al. Apr 2009 A1
20090105523 Kassayan et al. Apr 2009 A1
20090130620 Yazdi et al. May 2009 A1
20090136890 Kang et al. May 2009 A1
20090136893 Zegarelli May 2009 A1
20090148809 Kuo et al. Jun 2009 A1
20090170050 Marcus Jul 2009 A1
20090181346 Orth Jul 2009 A1
20090191502 Cao et al. Jul 2009 A1
20090210032 Beiski et al. Aug 2009 A1
20090218514 Klunder et al. Sep 2009 A1
20090246726 Chelnokov et al. Oct 2009 A1
20090281433 Saadat et al. Nov 2009 A1
20090286195 Sears et al. Nov 2009 A1
20090298017 Boerjes et al. Dec 2009 A1
20090305540 Stadler et al. Dec 2009 A1
20090316966 Marshall et al. Dec 2009 A1
20090317757 Lemchen Dec 2009 A1
20100015565 Carrillo Gonzalez et al. Jan 2010 A1
20100019170 Hart et al. Jan 2010 A1
20100028825 Lemchen Feb 2010 A1
20100045902 Ikeda et al. Feb 2010 A1
20100062394 Jones et al. Mar 2010 A1
20100068676 Mason et al. Mar 2010 A1
20100086890 Kuo Apr 2010 A1
20100138025 Morton et al. Jun 2010 A1
20100142789 Chang et al. Jun 2010 A1
20100145664 Hultgren et al. Jun 2010 A1
20100145898 Malfliet et al. Jun 2010 A1
20100152599 DuHamel et al. Jun 2010 A1
20100165275 Tsukamoto et al. Jul 2010 A1
20100167225 Kuo Jul 2010 A1
20100179789 Sachdeva et al. Jul 2010 A1
20100193482 Ow et al. Aug 2010 A1
20100196837 Farrell Aug 2010 A1
20100216085 Kopelman Aug 2010 A1
20100217130 Weinlaender Aug 2010 A1
20100231577 Kim et al. Sep 2010 A1
20100268363 Karim et al. Oct 2010 A1
20100268515 Vogt et al. Oct 2010 A1
20100279243 Cinader et al. Nov 2010 A1
20100280798 Pattijn Nov 2010 A1
20100281370 Rohaly et al. Nov 2010 A1
20100303316 Bullis et al. Dec 2010 A1
20100312484 DuHamel et al. Dec 2010 A1
20100327461 Co et al. Dec 2010 A1
20110007920 Abolfathi et al. Jan 2011 A1
20110012901 Kaplanyan Jan 2011 A1
20110045428 Boltunov et al. Feb 2011 A1
20110056350 Gale et al. Mar 2011 A1
20110081625 Fuh Apr 2011 A1
20110091832 Kim et al. Apr 2011 A1
20110102549 Takahashi May 2011 A1
20110102566 Zakian et al. May 2011 A1
20110104630 Matov et al. May 2011 A1
20110136072 Li et al. Jun 2011 A1
20110136090 Kazemi Jun 2011 A1
20110143300 Villaalba Jun 2011 A1
20110143673 Landesman et al. Jun 2011 A1
20110159452 Huang Jun 2011 A1
20110164810 Zang et al. Jul 2011 A1
20110207072 Schiemann Aug 2011 A1
20110212420 Vuillemot Sep 2011 A1
20110220623 Beutler Sep 2011 A1
20110235045 Koerner et al. Sep 2011 A1
20110269092 Kuo et al. Nov 2011 A1
20110316994 Lemchen Dec 2011 A1
20120016792 Fontenot Jan 2012 A1
20120028210 Hegyi et al. Feb 2012 A1
20120029883 Heinz et al. Feb 2012 A1
20120040311 Nilsson Feb 2012 A1
20120064477 Schmitt Mar 2012 A1
20120065985 Royal Mar 2012 A1
20120081786 Mizuyama et al. Apr 2012 A1
20120086681 Kim et al. Apr 2012 A1
20120115107 Adams May 2012 A1
20120129117 McCance May 2012 A1
20120147912 Moench et al. Jun 2012 A1
20120150494 Anderson et al. Jun 2012 A1
20120166213 Arnone et al. Jun 2012 A1
20120172678 Logan et al. Jul 2012 A1
20120281293 Gronenborn et al. Nov 2012 A1
20120295216 Dykes et al. Nov 2012 A1
20120322025 Ozawa et al. Dec 2012 A1
20130029284 Teasdale Jan 2013 A1
20130081272 Johnson et al. Apr 2013 A1
20130089828 Borovinskih et al. Apr 2013 A1
20130095446 Andreiko et al. Apr 2013 A1
20130103176 Kopelman et al. Apr 2013 A1
20130110469 Kopelman May 2013 A1
20130163627 Seurin et al. Jun 2013 A1
20130201488 Ishihara Aug 2013 A1
20130204599 Matov et al. Aug 2013 A1
20130209952 Kuo et al. Aug 2013 A1
20130235165 Gharib et al. Sep 2013 A1
20130252195 Popat Sep 2013 A1
20130266326 Joseph et al. Oct 2013 A1
20130278396 Kimmel Oct 2013 A1
20130280671 Brawn et al. Oct 2013 A1
20130286174 Urakabe Oct 2013 A1
20130293824 Yoneyama et al. Nov 2013 A1
20130323664 Parker Dec 2013 A1
20130323671 Dillon et al. Dec 2013 A1
20130323674 Hakomori et al. Dec 2013 A1
20130325431 See et al. Dec 2013 A1
20130337412 Kwon Dec 2013 A1
20140061974 Tyler Mar 2014 A1
20140081091 Abolfathi et al. Mar 2014 A1
20140093160 Porikli et al. Apr 2014 A1
20140106289 Kozlowski Apr 2014 A1
20140122027 Andreiko et al. May 2014 A1
20140136222 Arnone et al. May 2014 A1
20140142902 Chelnokov et al. May 2014 A1
20140178829 Kim Jun 2014 A1
20140265034 Dudley Sep 2014 A1
20140272774 Dillon et al. Sep 2014 A1
20140280376 Kuo Sep 2014 A1
20140294273 Jaisson Oct 2014 A1
20140313299 Gebhardt et al. Oct 2014 A1
20140329194 Sachdeva et al. Nov 2014 A1
20140342301 Fleer et al. Nov 2014 A1
20140350354 Stenzler et al. Nov 2014 A1
20140363778 Parker Dec 2014 A1
20150002649 Nowak et al. Jan 2015 A1
20150004553 Li et al. Jan 2015 A1
20150021210 Kesling Jan 2015 A1
20150079531 Heine Mar 2015 A1
20150094564 Tashman et al. Apr 2015 A1
20150097315 DeSimone et al. Apr 2015 A1
20150097316 DeSimone et al. Apr 2015 A1
20150102532 DeSimone et al. Apr 2015 A1
20150132708 Kuo May 2015 A1
20150140502 Brawn et al. May 2015 A1
20150150501 George et al. Jun 2015 A1
20150164335 Van Der Poel et al. Jun 2015 A1
20150173856 Iowe et al. Jun 2015 A1
20150182303 Abraham et al. Jul 2015 A1
20150216626 Ranjbar Aug 2015 A1
20150216716 Anitua Aldecoa Aug 2015 A1
20150230885 Wucher Aug 2015 A1
20150238280 Wu et al. Aug 2015 A1
20150238283 Tanugula et al. Aug 2015 A1
20150306486 Logan et al. Oct 2015 A1
20150320320 Kopelman et al. Nov 2015 A1
20150320532 Matty et al. Nov 2015 A1
20150325044 Lebovitz Nov 2015 A1
20150338209 Knüttel Nov 2015 A1
20150351638 Amato Dec 2015 A1
20150374469 Konno et al. Dec 2015 A1
20160000332 Atiya et al. Jan 2016 A1
20160003610 Lampert et al. Jan 2016 A1
20160042509 Andreiko et al. Feb 2016 A1
20160051345 Levin Feb 2016 A1
20160064898 Atiya et al. Mar 2016 A1
20160067013 Morton et al. Mar 2016 A1
20160081768 Kopelman et al. Mar 2016 A1
20160081769 Kimura et al. Mar 2016 A1
20160095668 Kuo et al. Apr 2016 A1
20160100924 Wilson et al. Apr 2016 A1
20160106520 Borovinskih et al. Apr 2016 A1
20160120621 Li et al. May 2016 A1
20160135924 Choi et al. May 2016 A1
20160135925 Mason et al. May 2016 A1
20160163115 Furst Jun 2016 A1
20160217708 Levin et al. Jul 2016 A1
20160220105 Durent Aug 2016 A1
20160220200 Sandholm et al. Aug 2016 A1
20160225151 Cocco et al. Aug 2016 A1
20160228213 Tod et al. Aug 2016 A1
20160242871 Morton et al. Aug 2016 A1
20160246936 Kahn Aug 2016 A1
20160287358 Nowak et al. Oct 2016 A1
20160296303 Parker Oct 2016 A1
20160302885 Matov et al. Oct 2016 A1
20160328843 Graham et al. Nov 2016 A1
20160338799 Wu et al. Nov 2016 A1
20160346063 Schulhof et al. Dec 2016 A1
20160367339 Khardekar et al. Dec 2016 A1
20170007365 Kopelman et al. Jan 2017 A1
20170007366 Kopelman et al. Jan 2017 A1
20170007367 Li et al. Jan 2017 A1
20170007368 Boronkay Jan 2017 A1
20170020633 Stone-Collonge et al. Jan 2017 A1
20170049311 Borovinskih et al. Feb 2017 A1
20170049326 Alfano et al. Feb 2017 A1
20170056131 Alauddin et al. Mar 2017 A1
20170071705 Kuo Mar 2017 A1
20170086943 Mah Mar 2017 A1
20170100209 Wen Apr 2017 A1
20170100212 Sherwood et al. Apr 2017 A1
20170100213 Kuo Apr 2017 A1
20170100214 Wen Apr 2017 A1
20170105815 Matov et al. Apr 2017 A1
20170135792 Webber May 2017 A1
20170135793 Webber et al. May 2017 A1
20170156821 Kopelman et al. Jun 2017 A1
20170165032 Webber et al. Jun 2017 A1
20170215739 Miyasato Aug 2017 A1
20170251954 Lotan et al. Sep 2017 A1
20170258555 Kopelman Sep 2017 A1
20170265970 Verker Sep 2017 A1
20170319054 Miller et al. Nov 2017 A1
20170319296 Webber et al. Nov 2017 A1
20170325690 Salah et al. Nov 2017 A1
20170340411 Akselrod Nov 2017 A1
20170340415 Choi et al. Nov 2017 A1
20180000563 Shanjani et al. Jan 2018 A1
20180000565 Shanjani et al. Jan 2018 A1
20180028063 Elbaz et al. Feb 2018 A1
20180028064 Elbaz et al. Feb 2018 A1
20180028065 Elbaz et al. Feb 2018 A1
20180055602 Kopelman et al. Mar 2018 A1
20180071054 Ha Mar 2018 A1
20180071055 Kuo Mar 2018 A1
20180085059 Lee Mar 2018 A1
20180096465 Levin Apr 2018 A1
20180125610 Carrier et al. May 2018 A1
20180153648 Shanjani et al. Jun 2018 A1
20180153649 Wu et al. Jun 2018 A1
20180153733 Kuo Jun 2018 A1
20180168788 Fernie Jun 2018 A1
20180192877 Atiya et al. Jul 2018 A1
20180228359 Meyer et al. Aug 2018 A1
20180280118 Cramer Oct 2018 A1
20180318043 Li et al. Nov 2018 A1
20180368944 Sato et al. Dec 2018 A1
20190026599 Salah et al. Jan 2019 A1
20190046296 Kopelman et al. Feb 2019 A1
20190046297 Kopelman et al. Feb 2019 A1
20190069975 Cam et al. Mar 2019 A1
20190076216 Moss et al. Mar 2019 A1
20190090983 Webber et al. Mar 2019 A1
Foreign Referenced Citations (128)
Number Date Country
517102 Nov 1977 AU
3031677 Nov 1977 AU
5598894 Jun 1994 AU
1121955 Apr 1982 CA
1655732 Aug 2005 CN
1655733 Aug 2005 CN
102017658 Apr 2011 CN
103889364 Jun 2014 CN
204092220 Jan 2015 CN
105496575 Apr 2016 CN
105997274 Oct 2016 CN
2749802 May 1978 DE
3526198 Feb 1986 DE
4207169 Sep 1993 DE
69327661 Jul 2000 DE
102005043627 Mar 2007 DE
202010017014 Mar 2011 DE
102011051443 Jan 2013 DE
202012011899 Jan 2013 DE
102014225457 Jun 2016 DE
0428152 May 1991 EP
490848 Jun 1992 EP
541500 May 1993 EP
714632 May 1997 EP
774933 Dec 2000 EP
731673 May 2001 EP
1941843 Jul 2008 EP
2437027 Apr 2012 EP
2447754 May 2012 EP
1989764 Jul 2012 EP
2332221 Nov 2012 EP
2596553 Dec 2013 EP
2612300 Feb 2015 EP
2848229 Mar 2015 EP
463897 Jan 1980 ES
2455066 Apr 2014 ES
2369828 Jun 1978 FR
2867377 Sep 2005 FR
2930334 Oct 2009 FR
1550777 Aug 1979 GB
53-058191 May 1978 JP
4028359 Jan 1992 JP
08-508174 Sep 1996 JP
09-19443 Jan 1997 JP
2003245289 Sep 2003 JP
2000339468 Sep 2004 JP
2005527320 Sep 2005 JP
2005527321 Sep 2005 JP
2006043121 Feb 2006 JP
2007151614 Jun 2007 JP
2007260158 Oct 2007 JP
2007537824 Dec 2007 JP
2008067732 Mar 2008 JP
2008523370 Jul 2008 JP
04184427 Nov 2008 JP
2009000412 Jan 2009 JP
2009018173 Jan 2009 JP
2009078133 Apr 2009 JP
2009101386 May 2009 JP
2009205330 Sep 2009 JP
2010017726 Jan 2010 JP
2011087733 May 2011 JP
2012045143 Mar 2012 JP
2013007645 Jan 2013 JP
2013192865 Sep 2013 JP
201735173 Feb 2017 JP
10-20020062793 Jul 2002 KR
10-20070108019 Nov 2007 KR
10-20090065778 Jun 2009 KR
10-1266966 May 2013 KR
10-2016-041632 Apr 2016 KR
10-2016-0071127 Jun 2016 KR
10-1675089 Nov 2016 KR
480166 Mar 2002 TW
WO91004713 Apr 1991 WO
WO9203102 Mar 1992 WO
WO94010935 May 1994 WO
WO9623452 Aug 1996 WO
WO98032394 Jul 1998 WO
WO98044865 Oct 1998 WO
WO0108592 Feb 2001 WO
WO0185047 Nov 2001 WO
WO02017776 Mar 2002 WO
WO02062252 Aug 2002 WO
WO02095475 Nov 2002 WO
WO03003932 Jan 2003 WO
WO2006096558 Sep 2006 WO
WO2006100700 Sep 2006 WO
WO2006133548 Dec 2006 WO
WO2007019709 Feb 2007 WO
WO2007071341 Jun 2007 WO
WO2007103377 Sep 2007 WO
WO2008115654 Sep 2008 WO
WO2009016645 Feb 2009 WO
WO2009085752 Jul 2009 WO
WO2009089129 Jul 2009 WO
WO2009146788 Dec 2009 WO
WO2009146789 Dec 2009 WO
WO2010059988 May 2010 WO
WO2010123892 Oct 2010 WO
WO2012007003 Jan 2012 WO
WO 2012064684 May 2012 WO
WO2012074304 Jun 2012 WO
WO2012078980 Jun 2012 WO
WO2012083968 Jun 2012 WO
WO2012140021 Oct 2012 WO
WO2013058879 Apr 2013 WO
WO2014068107 May 2014 WO
WO2014091865 Jun 2014 WO
WO2014143911 Sep 2014 WO
WO2015015289 Feb 2015 WO
WO2015063032 May 2015 WO
WO2015112638 Jul 2015 WO
WO2015176004 Nov 2015 WO
WO2016004415 Jan 2016 WO
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Non-Patent Literature Citations (285)
Entry
US 8,553,966 B1, 10/2013, Alpern et al. (withdrawn)
Arakawa et al; Mouthguard biosensor with telemetry system for monitoring of saliva glucose: A novel cavitas sensor; Biosensors and Bioelectronics; 84; pp. 106-111; Oct. 2016.
O'Leary et al.; U.S. Appl. No. 16/195,701 entitled “Orthodontic retainers,” filed Nov. 19, 2018.
Shanjani et al., U.S. Appl. No. 16/206,894 entitled “Sensors for monitoring oral appliances,” filed Nov. 28, 2019.
Shanjani et al., U.S. Appl. No. 16/231,906 entitled “Augmented reality enhancements for dental practitioners.” filed Dec. 24, 2018.
Kopleman et al., U.S. Appl. No. 16/220,381 entitled “Closed loop adaptive orthodontic treatment methods and apparatuses,” filed Dec. 14, 2018.
beautyworlds.com; Virtual plastic surgery—beautysurge.com announces launch of cosmetic surgery digital imaging services; 5 pages; retrieved from the internet (http://www.beautyworlds.com/cosmossurgdigitalimagning.htm); Mar. 2004.
Berland; The use of smile libraries for cosmetic dentistry; Dental Tribunne: Asia pacfic Edition; pp. 16-18; Mar. 29, 2006.
Bookstein; Principal warps: Thin-plate splines and decomposition of deformations; IEEE Transactions on pattern analysis and machine intelligence; 11(6); pp. 567-585; Jun. 1989.
Cadent Inc.; OrthoCAD ABO user guide; 38 pages; Dec. 21, 2005.
Cadent Inc.; Reviewing and modifying an orthoCAD case; 4 pages; Feb. 14, 2005.
Daniels et al.; The development of the index of complexity outcome and need (ICON); British Journal of Orthodontics; 27(2); pp. 149-162; Jun. 2000.
Dentrix; Dentrix G3, new features; 2 pages; retrieved from the internet (http://www.dentrix.com/g3/new_features/index.asp); on Jun. 6, 2008.
Di Giacomo et al.; Clinical application of sterolithographic surgical guides for implant placement: Preliminary results; Journal Periodontolgy; 76(4); pp. 503-507; Apr. 2005.
Gansky; Dental data mining: potential pitfalls and practical issues; Advances in Dental Research; 17(1); pp. 109-114; Dec. 2003.
Geomagic; Dental reconstruction; 1 page; retrieved from the internet (http://geomagic.com/en/solutions/industry/detal_desc.php) on Jun. 6, 2008.
Gottschalk et al.; OBBTree: A hierarchical structure for rapid interference detection; 12 pages; (http://www.cs.unc.edu/?geom/OBB/OBBT.html); retieved from te internet (https://www.cse.iitk.ac.in/users/amit/courses/RMP/presentations/dslamba/presentation/sig96.pdf) on Apr. 25, 2019.
gpsdentaire.com; Get a realistic smile simulation in 4 steps with GPS; a smile management software; 10 pages; retrieved from the internet (http://www.gpsdentaire.com/en/preview/) on Jun. 6, 2008.
Karaman et al.; A practical method of fabricating a lingual retainer; Am. Journal of Orthodontic and Dentofacial Orthopedics; 124(3); pp. 327-330; Sep. 2003.
Mantzikos et al.; Case report: Forced eruption and implant site development; The Angle Orthodontist; 68(2); pp. 179-186; Apr. 1998.
Methot; Get the picture with a gps for smile design in 3 steps; Spectrum; 5(4); pp. 100-105; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2006.
OrthoCAD downloads; retrieved Jun. 27, 2012 from the internet (www.orthocad.com/download/downloads.asp); 2 pages; Feb. 14, 2005.
Page et al.; Validity and accuracy of a risk calculator in predicting periodontal disease; Journal of the American Dental Association; 133(5); pp. 569-576; May 2002.
Patterson Dental; Cosmetic imaging; 2 pages retrieved from the internet (http://patterson.eaglesoft.net/cnt_di_cosimg.html) on Jun. 6, 2008.
Rose et al.; The role of orthodontics in implant dentistry; British Dental Journal; 201(12); pp. 753-764; Dec. 23, 2006.
Rubin et al.; Stress analysis of the human tooth using a three-dimensional finite element model; Journal of Dental Research; 62(2); pp. 82-86; Feb. 1983.
Sarment et al.; Accuracy of implant placement with a sterolithographic surgical guide; journal of Oral and Maxillofacial Implants; 118(4); pp. 571-577; Jul. 2003.
Smalley; Implants for tooth movement: Determining implant location and orientation: Journal of Esthetic and Restorative Dentistry; 7(2); pp. 62-72; Mar. 1995.
Smart Technology; Smile library II; 1 page; retrieved from the internet (http://smart-technology.net/) on Jun. 6, 2008.
Smile-Vision_The smile-vision cosmetic imaging system; 2 pages; retrieved from the internet (http://www.smile-vision.net/cos_imaging.php) on Jun. 6, 2008.
Szeliski; Introduction to computer vision: Structure from motion; 64 pages; retrieved from the internet (http://robots.stanford.edu/cs223b05/notes/CS%20223-B%20L10%structurefrommotion1b.ppt, on Feb. 3, 2005.
Vevin et al.; Pose estimation of teeth through crown-shape matching; In Medical Imaging: Image Processing of International Society of Optics and Photonics; vol. 4684; pp. 955-965; May 9, 2002.
Virtual Orthodontics; Our innovative software; 2 pages; (http://www.virtualorthodontics.com/innovativesoftware.html); retrieved from the internet (https://web.archive.org/web/20070518085145/http://www.virtualorthodontics.com/innovativesoftware.html); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2005.
Wiedmann; According to the laws of harmony to find the right tooth shape with assistance of the computer; Digital Dental News; 2nd Vol.; pp. 0005-0008; (English Version Included); Apr. 2008.
Wong et al.; Computer-aided design/computer-aided manufacturing surgical guidance for placement of dental implants: Case report; Implant Dentistry; 16(2); pp. 123-130; Sep. 2007.
Wong et al.; The uses of orthodontic study models in diagnosis and treatment planning; Hong Knog Dental Journal; 3(2); pp. 107-115; Dec. 2006.
Yaltara Software; Visual planner; 1 page; retrieved from the internet (http://yaltara.com/vp/) on Jun. 6, 2008.
Zhang et al.; Visual speech features extraction for improved speech recognition; 2002 IEEE International conference on Acoustics, Speech and Signal Processing; vol. 2; 4 pages; May 13-17, 2002.
Arnone et al.; U.S. Appl. No. 16/235,449 entitled “Method and system for providing indexing and cataloguing of orthodontic related treatment profiles and options,” filed Dec. 28, 2018.
Mason et al.; U.S. Appl. No. 16/374,648 entitled “Dental condition evaluation and treatment,” filed Apr. 3, 2019.
Brandt et al.; U.S. Appl. No. 16/235,490 entitled “Dental wire attachment,” filed Dec. 28, 2018.
Kou; U.S. Appl. No. 16/270,891 entitled “Personal data file,” filed Feb. 8, 2019.
AADR. American Association for Dental Research; Summary of Activities; Los Angeles, CA; p. 195; Mar. 20-23,(year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1980.
Alcaniz et aL; An Advanced System for the Simulation and Planning of Orthodontic Treatments; Karl Heinz Hohne and Ron Kikinis (eds.); Visualization in Biomedical Computing, 4th Intl. Conf, VBC '96, Hamburg, Germany; Springer-Verlag; pp. 511-520; Sep. 22-25, 1996.
Alexander et al.; The DigiGraph Work Station Part 2 Clinical Management; J. Clin. Orthod.; pp. 402-407; (Author Manuscript); Jul. 1990.
Align Technology; Align technology announces new teen solution with introduction of invisalign teen with mandibular advancement; 2 pages; retrieved from the internet (http://investor.aligntech.com/static-files/eb4fa6bb-3e62-404f-b74d-32059366a01b); Mar. 6, 2017.
Allesee Orthodontic Appliance: Important Tip About Wearing the Red White & Blue Active Clear Retainer System; Allesee Orthodontic Appliances-Pro Lab; 1 page; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1998.
Allesee Orthodontic Appliances: DuraClearTM; Product information; 1 page; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1997.
Allesee Orthodontic Appliances; The Choice Is Clear: Red, White & Blue . . . The Simple, Affordable, No-Braces Treatment; ( product information for doctors); retrieved from the internet (http://ormco.com/aoa/appliancesservices/RWB/doctorhtml); 5 pages on May 19, 2003.
Allesee Orthodontic Appliances; The Choice Is Clear: Red, White & Blue . . . The Simple, Affordable, No-Braces Treatment; (product information), 6 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2003.
Allesee Orthodontic Appliances; The Choice is Clear: Red, White & Blue . . . The Simple, Affordable, No-Braces Treatment;(Patient Information); retrieved from the internet (http://ormco.com/aoa/appliancesservices/RWB/patients.html); 2 pages on May 19, 2003.
Allesee Orthodontic Appliances; The Red, White & Blue Way to Improve Your Smile; (information for patients), 2 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1992.
Allesee Orthodontic Appliances; You may be a candidate for this invisible no-braces treatment; product information for patients; 2 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2002.
Altschuler et al.; Analysis of 3-D Data for Comparative 3-D Serial Growth Pattern Studies of Oral-Facial Structures; AADR Abstracts, Program and Abstracts of Papers, 57th General Session, IADR Annual Session, Mar. 29, 1979-Apr. 1, 1979, New Orleans Marriot; Journal of Dental Research; vol. 58, Special Issue A, p. 221; Jan. 1979.
Altschuler et al.; Laser Electro-Optic System for Rapid Three-Dimensional (3D) Topographic Mapping of Surfaces; Optical Engineering; 20(6); pp. 953-961; Dec. 1981.
Altschuler et al.; Measuring Surfaces Space-Coded by a Laser-Projected Dot Matrix; SPIE Imaging q Applications for Automated Industrial Inspection and Assembly; vol. 182; pp. 187-191; Oct. 10, 1979.
Altschuler; 3D Mapping of Maxillo-Facial Prosthesis; AADR Abstract #607; 2 pages total, (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1980.
Alves et al.; New trends in food allergens detection: toward biosensing strategies; Critical Reviews in Food Science and Nutrition; 56(14); pp. 2304-2319; doi: 10.1080/10408398.2013.831026; Oct. 2016.
Andersson et al.; Clinical Results with Titanium Crowns Fabricated with Machine Duplication and Spark Erosion; Acta Odontologica Scandinavica; 47(5); pp. 279-286; Oct. 1989.
Andrews, The Six Keys to Optimal Occlusion Straight Wire, Chapter 3, L.A. Wells; pp. 13-24; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1989.
Barone et al.; Creation of 3D multi-body orthodontic models by using independent imaging sensors; Sensors; 13(2); pp. 2033-2050; Feb. 5, 2013.
Bartels et al.; An Introduction to Splines for Use in Computer Graphics and Geometric Modeling; Morgan Kaufmann Publishers; pp. 422-425 Jan. 1, 1987.
Baumrind et al, “Mapping the Skull in 3-D,” reprinted from J. Calif. Dent. Assoc, 48(2), 11 pages; (year of pub. sufficiently earlier than effective US filing and any foreign priority date) Fall Issue 1972.
Baumrind et al.; A Stereophotogrammetric System for the Detection of Prosthesis Loosening in Total Hip Arthroplasty; NATO Symposium on Applications of Human Biostereometrics; SPIE; vol. 166; pp. 112-123; Jul. 9-13, 1978.
Baumrind; A System for Cranio facial Mapping Through the Integration of Data from Stereo X-Ray Films and Stereo Photographs; an invited paper submitted to the 1975 American Society of Photogram Symposium on Close-Range Photogram Systems; University of Illinois; pp. 142-166; Aug. 26-30, 1975.
Baumrind; Integrated Three-Dimensional Craniofacial Mapping: Background, Principles, and Perspectives; Seminars in Orthodontics; 7(4); pp. 223-232; Dec. 2001.
Begole et al.; A Computer System for the Analysis of Dental Casts; The Angle Orthodontist; 51(3); pp. 252-258; Jul. 1981.
Bernard et al; Computerized Diagnosis in Orthodontics for Epidemiological Studies: A ProgressReport; (Abstract Only), J. Dental Res. Special Issue, vol. 67, p. 169, paper presented at International Association for Dental Research 66th General Session, Montreal Canada; Mar. 9-13, 1988.
Bhatia et al.; A Computer-Aided Design for Orthognathic Surgery; British Journal of Oral and Maxillofacial Surgery; 22(4); pp. 237-253; Aug. 1, 1984.
Biggerstaff et al.; Computerized Analysis of Occlusion in the Postcanine Dentition; American Journal of Orthodontics; 61(3); pp. 245-254; Mar. 1972.
Biggerstaff; Computerized Diagnostic Setups and Simulations; Angle Orthodontist; 40(1); pp. 28-36; Jan. 1970.
Biostar Operation & Training Manual. Great Lakes Orthodontics, Ltd. 199 Fire Tower Drive,Tonawanda, New York. 14150-5890, 20 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1990.
Blu et al.; Linear interpolation revitalized; IEEE Transactions on Image Processing; 13(5); pp. 710-719; May 2004.
Bourke, Coordinate System Transformation; 1 page; retrived from the internet (http://astronomy.swin.edu.au/' pbourke/prolection/coords) on Nov. 5, 2004; Jun. 1996.
Boyd et al.; Three Dimensional Diagnosis and Orthodontic Treatment of Complex Malocclusions With the Invisalipn Appliance; Seminars in Orthodontics; 7(4); pp. 274-293; Dec. 2001.
Brandestini et al.; Computer Machined Ceramic Inlays: In Vitro Marginal Adaptation; J. Dent. Res. Special Issue; (Abstract 305); vol. 64; p. 208; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1985.
Brook et al.; An Image Analysis System for the Determination of Tooth Dimensions from Study Casts: Comparison with Manual Measurements of Mesio-distal Diameter; Journal of Dental Research; 65(3); pp. 428-431; Mar. 1986.
Burstone et al.; Precision Adjustment of the Transpalatal Lingual Arch: Computer Arch Form Predetermination; American Journal of Orthodontics; 79(2);pp. 115-133; Feb. 1981.
Burstone; Dr. Charles J. Burstone on The Uses of the Computer in Orthodontic Practice (Part 1); Journal of Clinical Orthodontics; 13(7); pp. 442-453; (interview); Jul. 1979.
Burstone; Dr. Charles J. Burstone on The Uses of the Computer in Orthodontic Practice (Part 2); journal of Clinical Orthodontics; 13(8); pp. 539-551 (interview); Aug. 1979.
Cardinal Industrial Finishes; Powder Coatings; 6 pages; retrieved from the internet (http://www.cardinalpaint.com) on Aug. 25, 2000.
Carnaghan, An Alternative to Holograms for the Portrayal of Human Teeth; 4th Int'l. Conf. on Holographic Systems, Components and Applications; pp. 228-231; Sep. 15, 1993.
Chaconas et al,; The DigiGraph Work Station, Part 1, Basic Concepts; Journal of Clinical Orthodontics; 24(6); pp. 360-367; (Author Manuscript); Jun. 1990.
Chafetz et al.; Subsidence of the Femoral Prosthesis, A Stereophotogrammetric Evaluation; Clinical Orthopaedics and Related Research; No. 201; pp. 60-67; Dec. 1985.
Chiappone; Constructing the Gnathologic Setup and Positioner; Journal of Clinical Orthodontics; 14(2); pp. 121-133; Feb. 1980.
Chishti et al.; U.S. Appl. No. 60/050,342 entitled “Procedure for moving teeth using a seires of retainers,” filed Jun. 20, 1997.
CSI Computerized Scanning and Imaging Facility; What is a maximum/minimum intensity projection (MIP/MinIP); 1 page; retrived from the internet (http://csi.whoi.edu/content/what-maximumminimum-intensity-projection-mipminip); Jan. 4, 2010.
Cottingham; Gnathologic Clear Plastic Positioner; American Journal of Orthodontics; 55(1); pp. 23-31; Jan. 1969.
Crawford; CAD/CAM in the Dental Office: Does It Work?; Canadian Dental Journal; 57(2); pp. 121-123 Feb. 1991.
Crawford; Computers in Dentistry: Part 1: CAD/CAM: The Computer Moves Chairside, Part 2: F. Duret ' A Man With a Vision, Part 3: The Computer Gives New Vision-Literally, Part 4: Bytes 'N Bites The Computer Moves From the Front Desk to the Operatory; Canadian Dental Journal; 54(9); pp. 661-666 Sep. 1988.
Crooks; CAD/CAM Comes to USC; USC Dentistry; pp. 14-17; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) Spring 1990.
Cureton; Correcting Malaligned Mandibular Incisors with Removable Retainers; Journal of Clinical Orthodontics; 30(7); pp. 390-395; Jul. 1996.
Curry et al.; Integrated Three-Dimensional Craniofacial Mapping at the Craniofacial Research InstrumentationLaboratory/University of the Pacific; Seminars in Orthodontics; 7(4); pp. 258-265; Dec. 2001.
Cutting et al.; Three-Dimensional Computer-Assisted Design of Craniofacial Surgical Procedures: Optimization and Interaction with Cephalometric and CT-Based Models; Plastic and Reconstructive Surgery; 77(6); pp. 877-885; Jun. 1986.
DCS Dental AG; The CAD/CAM 'DCS Titan System' for Production of Crowns/Bridges; DSC Production; pp. 1-7; Jan. 1992.
Defranco et al.; Three-Dimensional Large Displacement Analysis of Orthodontic Appliances; Journal of Biomechanics; 9(12); pp. 793-801; Jan. 1976.
Dental Institute University of Zurich Switzerland; Program for International Symposium on Computer Restorations: State of the Art of the CEREC-Method; 2 pages; May 1991.
Dentrac Corporation; Dentrac document; pp. 4-13; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1992.
DENT-X; Dentsim . . . Dent-x's virtual reality 3-D training simulator . . . A revolution in dental education; 6 pages; retrieved from the internet (http://www.dent-x.com/DentSim.htm); on Sep. 24, 1998.
Di Muzio et al.; Minimum intensity projection (MinIP); 6 pages; retrieved from the internet (https://radiopaedia.org/articles/minimum-intensity-projection-minip) on Sep. 6, 2018.
Doruk et al.; The role of the headgear timer in extraoral co-operation; European Journal of Orthodontics; 26; pp. 289-291; Jun. 1, 2004.
Doyle; Digital Dentistry; Computer Graphics World; pp. 50-52 andp. 54; Oct. 2000.
Dummer et al.; Computed Radiography Imaging Based on High-Density 670 nm VCSEL Arrays; International Society for Optics and Photonics; vol. 7557; p. 75570H; 7 pages; (Author Manuscript); Feb. 24, 2010.
Duret et al.; CAD/CAM Imaging in Dentistry; Current Opinion in Dentistry; 1(2); pp. 150-154; Apr. 1991.
Duret et al; CAD-CAM in Dentistry; Journal of the American Dental Association; 117(6); pp. 715-720; Nov. 1988.
Duret; The Dental CAD/CAM, General Description of the Project; Hennson International Product Brochure, 18 pages; Jan. 1986.
Duret; Vers Une Prosthese Informatisee; Tonus; 75(15); pp. 55-57; (English translation attached); 23 pages; Nov. 15, 1985.
Economides; The Microcomputer in the Orthodontic Office; Journal of Clinical Orthodontics; 13(11); pp. 767-772; Nov. 1979.
Ellias et al.; Proteomic analysis of saliva identifies potential biomarkers for orthodontic tooth movement; The Scientific World Journal; vol. 2012; Article ID 647240; dio:10.1100/2012/647240; 7 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2012.
Elsasser; Some Observations on the History and Uses of the Kesling Positioner; American Journal of Orthodontics; 36(5); pp. 368-374; May 1, 1950.
English translation of Japanese Laid-Open Publication No. 63-11148 to inventor T. Ozukuri (Laid-Open on Jan. 18, 1998) pp. 1-7.
Faber et al.; Computerized Interactive Orthodontic Treatment Planning; American Journal of Orthodontics; 73(1); pp. 36-46; Jan. 1978.
Felton et al.; A Computerized Analysis of the Shape and Stability of Mandibular Arch Form; American Journal of Orthodontics and Dentofacial Orthopedics; 92(6); pp. 478-483; Dec. 1987.
Florez-Moreno; Time-related changes in salivary levels of the osteotropic factors sRANKL and OPG through orthodontic tooth movement; American Journal of Orthodontics and Dentofacial Orthopedics; 143(1); pp. 92-100; Jan. 2013.
Friede et al.; Accuracy of Cephalometric Prediction in Orthognathic Surgery; Journal of Oral and Maxillofacial Surgery; 45(9); pp. 754-760; Sep. 1987.
Friedrich et al; Measuring system for in vivo recording of force systems in orthodontic treatment-concept and analysis of accuracy; J. Biomech.; 32(1); pp. 81-85; (Abstract Only) Jan. 1999.
Futterling et al.; Automated Finite Element Modeling of a Human Mandible with Dental Implants; JS WSCG '98—Conference Program; 8 pages; retrieved from the Internet (https://dspace5.zcu.cz/bitstream/11025/15851/1/Strasser_98.pdf); on Aug. 21, 2018.
Gao et al.; 3-D element Generation for Multi-Connected Complex Dental and Mandibular Structure; IEEE Proceedings International Workshop in Medical Imaging and Augmented Reality; pp. 267-271; Jun. 12, 2001.
Gim-Alldent Deutschland, “Das DUX System: Die Technik,” 3 pages; (English Translation Included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 2002.
Gottleib et al.; JCO Interviews Dr. James A. McNamura, Jr., on the Frankel Appliance: Part 2: Clinical 1-1 Management; Journal of Clinical Orthodontics; 16(6); pp. 390-407; retrieved from the internet (http://www.jco-online.com/archive/print_article.asp?Year=1982&Month=06&AdicleNum+); 21 pages; Jun. 1982.
Grayson; New Methods for Three Dimensional Analysis of Craniofacial Deformity, Symposium: Computerized Facial Imaging in Oral and Maxillofacial Surgery; American Association of Oral and Maxillofacial Surgeons; 48(8) suppl 1; pp. 5-6; Sep. 13, 1990.
Grest, Daniel; Marker-Free Human Motion Capture in Dynamic Cluttered Environments from a Single View-Point, PhD Thesis; 171 pages; Dec. 2007.
Guess et al.; Computer Treatment Estimates in Orthodontics and Orthognathic Surgery; Journal of Clinical Orthodontics; 23(4); pp. 262-268; 11 pages; (Author Manuscript); Apr. 1989.
Heaven et al.; Computer-Based Image Analysis of Artificial Root Surface Caries; Abstracts of Papers #2094; Journal of Dental Research; 70:528; (Abstract Only); Apr. 17-21, 1991.
Highbeam Research; Simulating stress put on jaw. (ANSYS Inc.'s finite element analysis software); 2 pages; retrieved from the Internet (http://static.highbeam.eom/t/toolingampproduction/november011996/simulatingstressputonfa . . . ); on Nov. 5, 2004.
Hikage; Integrated Orthodontic Management System for Virtual Three-Dimensional Computer Graphic Simulation and Optical Video Image Database for Diagnosis and Treatment Planning; Journal of Japan KA Orthodontic Society; 46(2); pp. 248-269; 56 pages; (English Translation Included); Feb. 1987.
Hoffmann et al.; Role of Cephalometry for Planning of Jaw Orthopedics and Jaw Surgery Procedures; Informatbnen, pp. 375-396; (English Abstract Included); Mar. 1991.
Hojjatie et al.; Three-Dimensional Finite Element Analysis of Glass-Ceramic Dental Crowns; Journal of Biomechanics; 23(11); pp. 1157-1166; Jan. 1990.
Huckins; CAD-CAM Generated Mandibular Model Prototype from MRI Data; AAOMS, p. 96; (Abstract Only); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1999.
Invisalign; You were made to move. There's never been a better time to straighten your teeth with the most advanced clear aligner in the world; Product webpage; 2 pages; retrieved from the internet (www.invisalign.com/) on Dec. 28, 2017.
JCO Interviews; Craig Andreiko , DDS, MS on the Elan and Orthos Systems; Interview by Dr. Larry W. White; Journal of Clinical Orthodontics; 28(8); pp. 459-468; 14 pages; (Author Manuscript); Aug. 1994.
JCO Interviews; Dr. Homer W. Phillips on Computers in Orthodontic Practice, Part 2; Journal of Clinical Orthodontics; 17(12); pp. 819-831; 19 pages; (Author Manuscript); Dec. 1983.
Jerrold; The Problem, Electronic Data Transmission and the Law; American Journal of Orthodontics and Dentofacial Orthopedics; 113(4); pp. 478-479; 5 pages; (Author Manuscript); Apr. 1998.
Jones et al.; An Assessment of the Fit of a Parabolic Curve to Pre- and Post-Treatment Dental Arches; British Journal of Orthodontics; 16(2); pp. 85-93; May 1989.
Kamada et.al.; Case Reports on Tooth Positioners Using LTV Vinyl Silicone Rubber; J. Nihon University School of Dentistry; 26(1); pp. 11-29; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1984.
Kamada et.al.; Construction of Tooth Positioners with LTV Vinyl Silicone Rubber and Some Case KJ Reports; J. Nihon University School of Dentistry; 24(1); pp. 1-27; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1982.
Kanazawa et al.; Three-Dimensional Measurements of the Occlusal Surfaces of Upper Molars in a Dutch Population; Journal of Dental Research; 63(11); pp. 1298-1301; Nov. 1984.
Kesling et al.; The Philosophy of the Tooth Positioning Appliance; American Journal of Orthodontics and Oral surgery; 31(6); pp. 297-304; Jun. 1945.
Kesling; Coordinating the Predetermined Pattern and Tooth Positioner with Conventional Treatment; American Journal of Orthodontics and Oral Surgery; 32(5); pp. 285-293; May 1946.
Kleeman et al.; The Speed Positioner; J. Clin. Orthod.; 30(12); pp. 673-680; Dec. 1996.
Kochanek; Interpolating Splines with Local Tension, Continuity and Bias Control; Computer Graphics; 18(3); pp. 33-41; Jan. 1, 1984.
Kumar et al.; Rapid maxillary expansion: A unique treatment modality in dentistry; J. Clin. Diagn. Res.; 5(4); pp. 906-911; Aug. 2011.
Kunii et al.; Articulation Simulation for an Intelligent Dental Care System; Displays; 15(3); pp. 181-188; Jul. 1994.
Kuroda et al.; Three-Dimensional Dental Cast Analyzing System Using Laser Scanning; American Journal of Orthodontics and Dentofacial Orthopedics; 110(4); pp. 365-369; Oct. 1996.
Laurendeau et al.; A Computer-Vision Technique for the Acquisition and Processing of 3-D Profiles of 7 Dental Imprints: An Application in Orthodontics; IEEE Transactions on Medical Imaging; 10(3); pp. 453-461; Sep. 1991.
Leinfelder et al.; A New Method for Generating Ceramic Restorations: A CAD-CAM System; Journal of the American Dental Association; 118(6); pp. 703-707; Jun. 1989.
Manetti et al.; Computer-Aided Cefalometry and New Mechanics in Orthodontics; Fortschr Kieferorthop; 44; pp. 370-376; 8 pages; (English Article Summary Included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1983.
McCann; Inside the ADA; J. Amer. Dent. Assoc, 118:286-294; Mar. 1989.
McNamara et al.; Invisible Retainers; J. Clin Orthod.; pp. 570-578; 11 pages; (Author Manuscript); Aug. 1985.
McNamara et al.; Orthodontic and Orthopedic Treatment in the Mixed Dentition; Needham Press; pp. 347-353; Jan. 1993.
Moermann et al, Computer Machined Adhesive Porcelain Inlays: Margin Adaptation after Fatigue Stress; IADR Abstract 339; J. Dent. Res.; 66(a);763; (Abstract Only); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1987.
Moles; Correcting Mild Malalignments—As Easy As One, Two, Three; AOA/Pro Corner; 11(2); 2 pages; (year of pub. sufficiently earlier than effective US filing dates and any foreign priority date) 2002.
Mormann et al.; Marginale Adaptation von adhasuven Porzellaninlays in vitro; Separatdruck aus:Schweiz. Mschr. Zahnmed.; 95; pp. 1118-1129; 8 pages; (Machine Translated English Abstract); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1985.
Nahoum; The Vacuum Formed Dental Contour Appliance; N. Y. State Dent. J.; 30(9); pp. 385-390; Nov. 1964.
Nash; CEREC CAD/CAM Inlays: Aesthetics and Durability in a Single Appointment; Dentistry Today; 9(8); pp. 20, 22-23 and 54; Oct. 1990.
Nedelcu et al.; “Scanning Accuracy and Precision in 4 Intraoral Scanners: An In Vitro Comparison Based on 3-Dimensional Analysis”; J. Prosthet. Dent.; 112(6); pp. 1461-1471; Dec. 2014.
Nishiyama et al.; A New Construction of Tooth Repositioner by LTV Vinyl Silicone Rubber; The Journal of Nihon University School of Dentistry; 19(2); pp. 93-102 (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1977.
Ogawa et al.; Mapping, profiling and clustering of pressure pain threshold (PPT) in edentulous oral muscosa; Journal of Dentistry; 32(3); pp. 219-228; Mar. 2004.
Ogimoto et al.; Pressure-pain threshold determination in the oral mucosa; Journal of Oral Rehabilitation; 29(7); pp. 620-626; Jul. 2002.
Paul et al.; Digital Documentation of Individual Human Jaw and Tooth Forms for Applications in Orthodontics; Oral Surgery and Forensic Medicine Proc. of the 24th Annual Conf. of the IEEE Industrial Electronics Society (IECON '98); vol. 4; pp. 2415-2418; Sep. 4, 1998.
Pinkham; Foolish Concept Propels Technology; Dentist, 3 pages , Jan./Feb. 1989.
Pinkham; Inventor's CAD/CAM May Transform Dentistry; Dentist; pp. 1 and 35, Sep. 1990.
Ponitz; Invisible retainers; Am. J. Orthod.; 59(3); pp. 266-272; Mar. 1971.
Procera Research Projects; Procera Research Projects 1993 ' Abstract Collection; 23 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1993.
Proffit et al.; The first stage of comprehensive treatment alignment and leveling; Contemporary Orthodontics, 3rd Ed.; Chapter 16; Mosby Inc.; pp. 534-537; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2000.
Proffit et al.; The first stage of comprehensive treatment: alignment and leveling; Contemporary Orthodontics; (Second Ed.); Chapter 15, MosbyYear Book; St. Louis, Missouri; pp. 470-533 Oct. 1993.
Raintree Essix & ARS Materials, Inc., Raintree Essix, Technical Magazine Table of contents and Essix Appliances, 7 pages; retrieved from the internet (http://www.essix.com/magazine/defaulthtml) on Aug. 13, 1997.
Redmond et al.; Clinical Implications of Digital Orthodontics; American Journal of Orthodontics and Dentofacial Orthopedics; 117(2); pp. 240-242; Feb. 2000.
Rekow et al.; CAD/CAM for Dental Restorations—Some of the Curious Challenges; IEEE Transactions on Biomedical Engineering; 38(4); pp. 314-318; Apr. 1991.
Rekow et al.; Comparison of Three Data Acquisition Techniques for 3-D Tooth Surface Mapping; Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 13(1); pp. 344-345 (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1991.
Rekow; A Review of the Developments in Dental CAD/CAM Systems; Current Opinion in Dentistry; 2; pp. 25-33; Jun. 1992.
Rekow; CAD/CAM in Dentistry: A Historical Perspective and View of the Future; Journal Canadian Dental Association; 58(4); pp. 283, 287-288; Apr. 1992.
Rekow; Computer-Aided Design and Manufacturing in Dentistry: A Review of the State of the Art; Journal of Prosthetic Dentistry; 58(4); pp. 512-516; Dec. 1987.
Rekow; Dental CAD-CAM Systems: What is the State of the Art?; The Journal of the American Dental Association; 122(12); pp. 43-48; Dec. 1991.
Rekow; Feasibility of an Automated System for Production of Dental Restorations, Ph.D. Thesis; Univ. of Minnesota, 250 pages, Nov. 1988.
Richmond et al.; The Development of the PAR Index (Peer Assessment Rating): Reliability and Validity.; The European Journal of Orthodontics; 14(2); pp. 125-139; Apr. 1992.
Richmond et al.; The Development of a 3D Cast Analysis System; British Journal of Orthodontics; 13(1); pp. 53-54; Jan. 1986.
Richmond; Recording the Dental Cast in Three Dimensions; American Journal of Orthodontics and Dentofacial Orthopedics; 92(3); pp. 199-206; Sep. 1987.
Rudge; Dental Arch Analysis: Arch Form, A Review of the Literature; The European Journal of Orthodontics; 3(4); pp. 279-284; Jan. 1981.
Sahm et al.; “Micro-Electronic Monitoring of Functional Appliance Wear”; Eur J Orthod.; 12(3); pp. 297-301; Aug. 1990.
Sahm; Presentation of a wear timer for the clarification of scientific questions in orthodontic orthopedics; Fortschritte der Kieferorthopadie; 51 (4); pp. 243-247; (Translation Included) Jul. 1990.
Sakuda et al.; Integrated Information-Processing System in Clinical Orthodontics: An Approach with Use of a Computer Network System; American Journal of Orthodontics and Dentofacial Orthopedics; 101(3); pp. 210-220; 20 pages; (Author Manuscript) Mar. 1992.
Schafer et al.; “Quantifying patient adherence during active orthodontic treatment with removable appliances using microelectronic wear-time documentation”; Eur J Orthod.; 37(1)pp. 1-8; doi:10.1093/ejo/cju012; Jul. 3, 2014.
Schellhas et al.; Three-Dimensional Computed Tomography in Maxillofacial Surgical Planning; Archives of Otolaryngology—Head and Neck Surgery; 114(4); pp. 438-442; Apr. 1988.
Schroeder et al; Eds. The Visual Toolkit, Prentice Hall PTR, New Jersey; Chapters 6, 8 & 9, (pp. 153-210,309-354, and 355-428; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1998.
Shilliday; Minimizing finishing problems with the mini-positioner; American Journal of Orthodontics; 59(6); pp. 596-599; Jun. 1971.
Shimada et al.; Application of optical coherence tomography (OCT) for diagnosis of caries, cracks, and defects of restorations; Current Oral Health Reports; 2(2); pp. 73-80; Jun. 2015.
Siemens; C—Computer-Reconstruction, High Tech in der Zahnmedizin; 15 pagesl; (Includes Machine Translation); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 2004.
Sinclair; The Readers' Corner; Journal of Clinical Orthodontics; 26(6); pp. 369-372; 5 pages; retrived from the internet (http://www.jco-online.com/archive/print_article.asp?Year=1992&Month=06&ArticleNum=); Jun. 1992.
Stoll et al.; Computer-aided Technologies in Dentistry; Dtsch Zahna'rztl Z 45, pp. 314-322; (English Abstract Included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1990.
Sturman; Interactive Keyframe Animation of 3-D Articulated Models; Proceedings Graphics Interface '84; vol. 86; pp. 35-40; May-Jun. 1984.
The American Heritage, Stedman's Medical Dictionary; Gingiva; 3 pages; retrieved from the interent (http://reference.com/search/search?q=gingiva) on Nov. 5, 2004.
The Dental Company Sirona: Cerc omnicam and cerec bluecam brochure: The first choice in every case; 8 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 2014.
Thera Mon; “Microsensor”; 2 pages; retrieved from the internet (www.english.thera-mon.com/the-product/transponder/index.html); on Sep. 19, 2016.
Thorlabs; Pellin broca prisms; 1 page; retrieved from the internet (www.thorlabs.com); Nov. 30, 2012.
Tiziani et al.; Confocal principle for macro and microscopic surface and defect analysis; Optical Engineering; 39(1); pp. 32-39; Jan. 1, 2000.
Truax; Truax Clasp-Less(TM) Appliance System; The Functional Orthodontist; 9(5); pp. 22-24, 26-28; Sep.-Oct. 1992.
Tru-Tatn Orthodontic & Dental Supplies, Product Brochure, Rochester, Minnesota 55902, 16 pages; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) 1996.
U.S. Department of Commerce, National Technical Information Service, Holodontography: An Introduction to Dental Laser Holography; School of Aerospace Medicine Brooks AFB Tex; Mar. 1973, 40 pages; Mar. 1973.
U.S. Department of Commerce, National Technical Information Service; Automated Crown Replication Using Solid Photography SM; Solid Photography Inc., Melville NY,; 20 pages; Oct. 1977.
Vadapalli; Minimum intensity projection (MinIP) is a data visualization; 7 pages; retrieved from the internet (https://prezi.com/tdmttnmv2knw/minimum-intensity-projection-minip-is-a-data-visualization/) on Sep. 6, 2018.
Van Der Linden et al.; Three-Dimensional Analysis of Dental Casts by Means of the Optocom; Journal of Dental Research; 51(4); p. 1100; Jul.-Aug. 1972.
Van Der Linden; A New Method to Determine Tooth Positions and Dental Arch Dimensions; Journal of Dental Research; 51(4); p. 1104; Jul.-Aug. 1972.
Van Der Zel; Ceramic-Fused-to-Metal Restorations with a New CAD/CAM System; Quintessence International; 24(A); pp. 769-778; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1993.
Van Hilsen et al.; Comparing potential early caries assessment methods for teledentistry; BMC Oral Health; 13(16); doi: 10.1186/1472-6831-13-16; 9 pages; Mar. 2013.
Varady et al.; Reverse Engineering of Geometric Models'An Introduction; Computer-Aided Design; 29(4); pp. 255-268; 20 pages; (Author Manuscript); Apr. 1997.
Verstreken et al.; An Image-Guided Planning System for Endosseous Oral Implants; IEEE Transactions on Medical Imaging; 17(5); pp. 842-852; Oct. 1998.
Warunek et al.; Physical and Mechanical Properties of Elastomers in Orthodonic Positioners; American Journal of Orthodontics and Dentofacial Orthopedics; 95(5); pp. 388-400; 21 pages; (Author Manuscript); May 1989.
Warunek et.al.; Clinical Use of Silicone Elastomer Applicances; JCO; 23(10); pp. 694-700; Oct. 1989.
Watson et al.; Pressures recorded at te denture base-mucosal surface interface in complete denture wearers; Journal of Oral Rehabilitation 14(6); pp. 575-589; Nov. 1987.
Wells; Application of the Positioner Appliance in Orthodontic Treatment; American Journal of Orthodontics; 58(4); pp. 351-366; Oct. 1970.
Wikipedia; Palatal expansion; 3 pages; retrieved from the internet (https://en.wikipedia.org/wiki/Palatal_expansion) on Mar. 5, 2018.
Williams; Dentistry and CAD/CAM: Another French Revolution; J. Dent. Practice Admin.; 4(1); pp. 2-5 Jan./Mar. 1987.
Williams; The Switzerland and Minnesota Developments in CAD/CAM; Journal of Dental Practice Administration; 4(2); pp. 50-55; Apr./Jun. 1987.
Wireless Sensor Networks Magazine; Embedded Teeth for Oral Activity Recognition; 2 pages; retrieved on Sep. 19, 2016 from the internet (www.wsnmagazine.com/embedded-teeth/); Jul. 29, 2013.
Wishan; New Advances in Personal Computer Applications for Cephalometric Analysis, Growth Prediction, Surgical Treatment Planning and Imaging Processing; Symposium: Computerized Facial Imaging in Oral and Maxilofacial Surgery; p. 5; Presented on Sep. 13, 1990.
Witt et al.; The wear-timing measuring device in orthodontics-cui bono? Reflections on the state-of-the-art in wear-timing measurement and compliance research in orthodontics; Fortschr Kieferorthop.; 52(3); pp. 117-125; (Translation Included) Jun. 1991.
Wolf; Three-dimensional structure determination of semi-transparent objects from holographic data; Optics Communications; 1(4); pp. 153-156; Sep. 1969.
WSCG'98—Conference Program, The Sixth International Conference in Central Europe on Computer Graphics and Visualization '98; pp. 1-7; retrieved from the Internet on Nov. 5, 2004, (http://wscg.zcu.cz/wscg98/wscg98.htm); Feb. 9-13, 1998.
Xia et al.; Three-Dimensional Virtual-Reality Surgical Planning and Soft-Tissue Prediction for Orthognathic Surgery; IEEE Transactions on Information Technology in Biomedicine; 5(2); pp. 97-107; Jun. 2001.
Yamada et al.; Simulation of fan-beam type optical computed-tomography imaging of strongly scattering and weakly absorbing media; Applied Optics; 32(25); pp. 4808-4814; Sep. 1, 1993.
Yamamoto et al.; Optical Measurement of Dental Cast Profile and Application to Analysis of Three-Dimensional Tooth Movement in Orthodontics; Front. Med. Biol. Eng., 1(2); pp. 119-130; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 1988.
Yamamoto et al.; Three-Dimensional Measurement of Dental Cast Profiles and Its Applications to Orthodontics; Conf. Proc. IEEE Eng. Med. Biol. Soc.; 12(5); pp. 2052-2053; Nov. 1990.
Yamany et al.; A System for Human Jaw Modeling Using Intra-Oral Images; Proc. of the 20th Annual Conf. of the IEEE Engineering in Medicine and Biology Society; vol. 2; pp. 563-566; Oct. 1998.
Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); 111. The General Concept of the D.P. Method and Its Therapeutic Effect, Part 1, Dental and Functional Reversed Occlusion Case Reports; Nippon Dental Review; 457; pp. 146-164; 43 pages; (Author Manuscript); Nov. 1980.
Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); I. The D.P. Concept and Implementation of Transparent Silicone Resin (Orthocon); Nippon Dental Review; 452; pp. 61-74; 32 pages; (Author Manuscript); Jun. 1980.
Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); II. The D.P. Manufacturing Procedure and Clinical Applications; Nippon Dental Review; 454; pp. 107-130; 48 pages; (Author Manuscript); Aug. 1980.
Yoshii; Research on a New Orthodontic Appliance: The Dynamic Positioner (D.P.); III-The General Concept of the D.P. Method and Its Therapeutic Effect, Part 2. Skeletal Reversed Occlusion Case Reports; Nippon Dental Review; 458; pp. 112-129; 40 pages; (Author Manuscript); Dec. 1980.
Grove et al.; U.S. Appl. No. 15/726,243 entitled “Interproximal reduction templates,” filed Oct. 5, 2017.
Cramer; U.S. Appl. No. 15/937,569 entitled “Apparatuses and methods assisting in dental therapies,” filed Mar. 27, 2018.
Cramer et al.; U.S. Appl. No. 15/942,341 entitled “Orthodontic appliances including at least partially un-erupted teeth and method of forming them,” filed Mar. 30, 2018.
Shanjani et al.; U.S. Appl. No. 16/019,037 entitled “Biosensor performance indicator for intraoral appliances,” filed Jun. 26, 2018.
Riley et al.; U.S. Appl. No. 16/003,841 entitled Palatal expander with skeletal anchorage devices, filed Jun. 8, 2018.
Sato et al.; U.S. Appl. No. 16/041,606 entitled “Palatal contour anchorage,” filed Jul. 20, 2018.
Xue et al.; U.S. Appl. No. 16/010,087 entitled “Automatic detection of tooth type and eruption status,” filed Jun. 15, 2018.
Sato et al.; U.S. Appl. No. 16/048,054 entitled “Optical coherence tomography for orthodontic aligners,” filed Jul. 27, 2018.
Moalem et al.; U.S. Appl. No. 16/046,897 entitled Tooth shading, transparency and glazing, filed Jul. 26, 2018.
Nyukhtikov et al.; U.S. Appl. No. 15/998,883 entitled “Buccal corridor assessment and computation,” filed Aug. 15, 2018.
Bernabe et al.; Are the lower incisors the best predictors for the unerupted canine and premolars sums? An analysis of peruvian sample; The Angle Orthodontist; 75(2); pp. 202-207; Mar. 2005.
Collins English Dictionary; Teeth (definition); 9 pages; retrieved from the internet (https:www.collinsdictionary.com/us/dictionary/english/teeth) on May 13, 2019.
Dental Monitoring; Basics: How to put the cheek retractor?; 1 page (Screenshot); retrieved from the interenet (https://www.youtube.com/watch?v=6K1HXw4Kq3c); May 27, 2016.
Dental Monitoring; Dental monitoring tutorial; 1 page (Screenshot); retrieved from the internet (https:www.youtube.com/watch?v=Dbe3udOf9_c); Mar. 18, 2015.
dictionary.com; Plural (definition); 6 pages; retrieved from the internet ( https://www.dictionary.com/browse/plural#) on May 13, 2019.
dictionary.com; Quadrant (definition); 6 pages; retrieved from the internet ( https://www.dictionary.com/browse/quadrant?s=t) on May 13, 2019.
Ecligner Selfie; Change your smile; 1 page (screenshot); retrieved from the internet (https:play.google.com/store/apps/details?id=parklict.ecligner); on Feb. 13, 2018.
Martinelli et al.; Prediction of lower permanent canine and premolars width by correlation methods; The Angle Orthodontist; 75(5); pp. 805-808; Sep. 2005.
Nourallah et al.; New regression equations for prediciting the size of unerupted canines and premolars in a contemporary population; The Angle Orthodontist; 72(3); pp. 216-221; Jun. 2002.
Paredes et al.; A new, accurate and fast digital method to predict unerupted tooth size; The Angle Orthodontist; 76(1); pp. 14-19; Jan. 2006.
Levin; U.S. Appl. No. 16/282,431 entitled “Estimating a surface texture of a tooth,” filed Feb. 2, 2019.
Chen et al.; U.S. Appl. No. 16/223,019 entitled “Release agent receptacle,” filed Dec. 17, 2018.
Sirona Dental Systems GmbH, CEREC 3D, Manuel utiiisateur, Version 2.0X (in French); 114 pages; (English translation of table of contents included); (year of pub. sufficiently earlier than effective US filing date and any foreign priority date); 2003.
Bandodkar et al.; All-printed magnetically self-healing electrochemical devices; Science Advances; 2(11); 11 pages; e1601465; Nov. 2016.
Bandodkar et al.; Self-healing inks for autonomous repair of printable electrochemical devices; Advanced Electronic Materials; 1(12); 5 pages; 1500289; Dec. 2015.
Bandodkar et al.; Wearable biofuel cells: a review; Electroanalysis; 28(6); pp. 1188-1200; Jun. 2016.
Bandodkar et al.; Wearable chemical sensors: present challenges and future prospects; Acs Sensors; 1(5); pp. 464-482; May 11, 2016.
Imani et al.; A wearable chemical-electrophysiological hybrid biosensing system for real-time health and fitness monitoring; Nature Communications; 7; 11650. doi 1038/ncomms11650; 7 pages; May 23, 2016.
Jia et al.; Epidermal biofuel cells: energy harvesting from human perspiration; Angewandle Chemie International Edition; 52(28); pp. 7233-7236; Jul. 8, 2013.
Jia et al.; Wearable textile biofuel cells for powering electronics; Journal of Materials Chemistry A; 2(43); pp. 18184-18189; Oct. 14, 2014.
Jeerapan et al.; Stretchable biofuel cells as wearable textile-based self-powered sensors; Journal of Materials Chemistry A; 4(47); pp. 18342-18353; Dec. 21, 2016.
Kim et al.; Advanced materials for printed wearable electrochemical devices: A review; Advanced Electronic Materials; 3(1); 15 pages; 1600260; Jan. 2017.
Kim et al.; Noninvasive alcohol monitoring using a wearable tatto-based iontophoretic-biosensing system; Acs Sensors; 1(8); pp. 1011-1019; Jul. 22, 2016.
Kim et al.; Non-invasive mouthguard biosensor for continuous salivary monitoring of metabolites; Analyst; 139(7); pp. 1632-1636; Apr. 7, 2014.
Kim et al.; A wearable fingernail chemical sensing platform: pH sensing at your fingertips; Talanta; 150; pp. 622-628; Apr. 2016.
Kim et al.; Wearable salivary uric acid mouthguard biosensor with integrated wireless electronics; Biosensors and Bioelectronics; 74; pp. 1061-1068; 19 pages; (Author Manuscript); Dec. 2015.
Kumar et al.; All-printed, stretchable Zn-Ag2o rechargeable battery via, hyperelastic binder for self-powering wearable electronics; Advanced Energy Materials; 7(8); 8 pages; 1602096; Apr. 2017.
Kumar et al.; Biomarkers in orthodontic tooth movement; Journal of Pharmacy Bioallied Sciences; 7(Suppl 2); pp. S325-S330; 12 pages; (Author Manuscript); Aug. 2015.
Parrilla et al.; A textile-based stretchable multi-ion potentiometric sensor; Advanced Healthcare Materials; 5(9); pp. 996-1001; May 2016.
Windmiller et al., Wearable electrochemical sensors and biosensors: a review; Electroanalysis; 25(1); pp. 29-46; Jan. 2013.
Zhou et al.; Bio-logic analysis of injury biomarker patterns in human serum samples; Talanta; 83(3); pp. 955-959; Jan. 15, 2011.
Zhou et al.; Biofuel cells for self-powered electrochemical biosensing and logic biosensing: A review; Electroanalysis; 24(2); pp. 197-209; Feb. 2012.
Kopelman et al.; U.S. Appl. No. 16/152,281 entitled “Intraoral appliances for sampling soft-tissue,” filed Oct. 4, 2018.
Morton et al.; U.S. Appl. No. 16/177,067 entitled “Dental appliance having selective occlusal loading and controlled intercuspation,” filed Oct. 31, 2018.
Akopov et al.; U.S. Appl. No. 16/178,491 entitled “Automatic treatment planning,” filed Nov. 1, 2018.
Elbaz et al.; U.S. Appl. No. 16/198,488 entitled “Intraoral scanner with dental diagnostics capabilities,” filed Nov. 21, 2018.
Elbaz et al.; U.S. Appl. No. 16/188,262 entitled “Intraoral scanner with dental diagnostics capabilities,” filed Nov. 12, 2018.
Farooq et al.; Relationship between tooth dimensions and malocclusion; JPMA: The Journal of the Pakistan Medical Association; 64(6); pp. 670-674; Jun. 2014.
Newcombe; DTAM: Dense tracking and mapping in real-time; 8 pages; retrieved from the internet (http://www.doc.ic.ac.uk/?ajd/Publications/newcombe_etal_iccv2011.pdf; on Dec. 2011.
ormco.com; Increasing clinical performance with 3D interactive treatment planning and patient-specific appliances; 8 pages; retrieved from the internet (http://www.konsident.com/wp-content/files_mf/1295385693http__ormco.com_index_cmsfilesystemaction_fileOrmcoPDF_whitepapers.pdf) on Feb. 27, 2019.
Video of DICOM to Surgical Guides; [Copy Not Enclosed], Can be viewed at <URL:https://youtu.be/47KtOmCEFQk; Published Apr. 4, 2016.
Sabina et al., U.S. Appl. No. 16/258,516 entitled “Diagnostic intraoral scanning” filed Jan. 25, 2019.
Sabina et al., U.S. Appl. No. 16/258,523 entitled “Diagnostic intraoral tracking” filed Jan. 25, 2019.
Sabina et al., U.S. Appl. No. 16/258,527 entitled “Diagnostic intraoral methods and apparatuses” filed Jan. 25, 2019.
Li et al.; U.S. Appl. No. 16/171,159 entitled “Alternative bite adjustment structures,” filed Oct. 25, 2018.
Culp; U.S. Appl. No. 16/236,220 entitled “Laser cutting,” filed Dec. 28, 2018.
Culp; U.S. Appl. No. 16/265,287 entitled “Laser cutting,” filed Feb. 1, 2019.
Related Publications (1)
Number Date Country
20190019187 A1 Jan 2019 US
Provisional Applications (1)
Number Date Country
62533625 Jul 2017 US