Abstract: A method of visualizing a treatment of teeth includes maintaining a final position model trained to output movement of teeth from initial to final positions, receiving from a user device a first representation comprising teeth of a user in an initial position where the first representation is based on a 2D image transmitted from the user device, determining tooth movements of the teeth from the initial position to a final position using to the final position model, receiving by the user device a graphical visualization of a treatment plan for moving the teeth of the user where the graphical visualization is generated based on the final position and the treatment plan is suitable for correcting the user's malocclusion, and displaying by the user device the graphical visualization where the graphical visualization comprises a three-dimensional (3D) representation corresponding to the teeth of the user.

Abstract: Systems and methods for generating a 3D model of a dentition are disclosed herein. A method includes generating a first 3D model of a dentition including a plurality of model teeth. The method includes receiving at least one digital representation comprising patient teeth. The method includes determining a virtual camera parameter. The virtual camera parameter corresponds with a camera used to capture the digital representation. The method includes comparing, based on the virtual camera parameter, a first position of a model tooth with a position of a corresponding patient tooth of the digital representation. The method includes moving the model tooth from the first position to a second position. The second position is based on the position of the corresponding patient tooth. The method includes generating a second 3D model comprising the model tooth of the first 3D model in the second position.

Abstract: A system includes a processor and a non-transitory computer-readable medium containing instructions that when executed by the processor causes the processor to perform operations comprising displaying a prompt to a user of a mobile device on a display of a mobile device to capture an image representing at least a portion of a mouth of the user using a rear-facing camera of the mobile device, where the rear-facing camera is on an opposite side of the mobile device including the display. The operations further comprise controlling the rear-facing camera to enable the rear-facing camera to capture the image, receiving the image, and outputting, user feedback based on the image, where the user feedback is outputted on the display that is on the opposite side of the mobile device than the rear-facing camera.

Abstract: Systems and methods disclosed herein use a first machine learning architecture and a second machine learning architecture where the first machine learning architecture executes on a first processor and receives a first image representing a mouth of a user, determines user feedback for outputting to the user based on a first machine learning model, and outputs the user feedback for capturing a second image representing the mouth of the user. The second machine learning architecture executes on a second processor and receives the first image and the second image, and generates a 3D model of at least a portion of a dental arch of the user based on the first image and the second image where the 3D model is generated based on a second machine learning model of the second machine learning architecture.

Abstract: A system includes an orientation determination system comprising a camera where the camera is configured to capture an image of an orientation feature of a physical dental model of a dental arch of a customer with material thermoformed thereon. The orientation determination system is configured to identify an offset of the physical dental model with respect to a fixture plate during positioning or before or after the physical dental model is positioned on the fixture plate by determining an actual orientation of the physical dental model based on the orientation feature. The system also includes a laser trimming system configured to cut the material along a trim line based on the identified offset while the fixture plate is moved about at least two axes to produce a dental aligner specific to the customer and being configured to reposition one or more teeth of the customer.

Abstract: A system includes one or more processors coupled to a non-transitory memory, where the one or more processors are configured to generate, using a training set comprising one or more two-dimensional (2D) training images of a dental arch and a three-dimensional (3D) dental arch model, a machine-learning model configured to generate 3D models of dental arches from 2D images of the dental arches, receive one or more 2D images of a dental arch of a user obtained by a user device of the user, and execute the machine-learning model using the one or more 2D images as input to generate a 3D model of the dental arch of the user.

Abstract: A method comprises providing an imaging system configured to acquire images of an intraoral cavity of a user where the imaging system is configured to be operable by the user by allowing the user to visually monitor the intraoral cavity while the images of the intraoral cavity are acquired. The imaging system comprises an image acquisition device configured to acquire the images, and an orientation element configured to orient the image acquisition device with respect to the intraoral cavity to facilitate acquisition of the images. The method further includes at least one of determining an oral condition of the user based on the acquired images or providing feedback based on the acquired images.

Abstract: A distributed system includes one or more servers configured to provide computing devices access to portals hosted by the one or more servers, where the portals include a patient intake portal accessible by a first computing device located at an office of an intake dentist or orthodontist, and an approving portal accessible by a second computing device remote from the first computing device. The distributed system includes a dental aligner fabrication system including a fabrication computing device and dental aligner fabrication equipment. The patient intake portal is configured to provide a plurality of status updates to the intake dentist or orthodontist regarding a status of the patient, where the plurality of status updates include an indication that the dental aligners have been sent to the patient.

Abstract: Disclosed is a machine learning architecture for a two-dimensional image protocol detector configured to receive a first image representing at least a portion of a mouth of a user, and output user feedback for capturing a second image representing a portion of the mouth of the user, where the machine learning architecture outputs the user feedback in response to an image quality score of the first image not satisfying an image quality threshold.

Abstract: Systems and methods for performing a mid-course correction include receiving user compliance check information including at least one image of the user's teeth submitted by a user regarding an initial treatment plan where at least one of the images is taken by the user with a camera being external to the mouth of the user and having a dental appliance positioned at least partially within the mouth where the dental appliance holds open the user's upper and lower lips, conducting, using an intraoral scanner at an intraoral scanning site, an intraoral scan of a mouth of a user based on determining that one or more teeth of the user are not being repositioned according to the initial treatment plan, generating a corrective treatment plan based on the intraoral scan, producing a plurality of aligners based on the corrective treatment plan, and providing the plurality of aligners to the user.

Abstract: Systems and methods for generating a three-dimensional (3D) model of a user's dental arch based on two-dimensional (2D) images include a model training system that receives data packets of a training set. Each data packet may include data corresponding to training images of a respective dental arch and a 3D training model of the respective dental arch. The model training system identifies, for a data packet, correlation points between the one or more training images and the 3D training model of the respective dental arch. The model training system generates a machine learning model using the correlation points for the data packets of the training set. A model generation system receives one or more images of a dental arch. The model generation system generates a 3D model of the dental arch by applying the images of the dental arch to the machine learning model.

Abstract: Systems and methods of remote orthodontic treatment include receiving a plurality of images from a customer where the plurality of images represent teeth of the customer, receiving a first approval from a staff computing device where the first approval is indicative of a staff user approving the plurality of images for assessment by a dental professional, receiving a second approval from a provider computing device where the second approval is indicative of the provider approving a fitness of the customer for treatment, generating, in response to receiving the second approval, a treatment plan including a series of steps to reposition at least one tooth of the teeth of the customer, and manufacturing one or more aligners based at least in part on the treatment plan where the aligners are specific to the customer and are configured to reposition the at least one tooth of the teeth of the customer.

Abstract: Systems and methods for generating a three-dimensional (3D) model of a user's dental arch based on two-dimensional (2D) images of dental impressions include a model training system that provides a machine learning model using training image(s) of a dental impression of a respective dental arch and a 3D training model of the respective dental arch. A model generation system receives first image(s) of a first dental impression of a user's dental arch and second image(s), which may be of the first dental impression or a second dental impression of the dental arch. The model generation system generates a first and second 3D model of the dental arch by applying the first image(s) and second image(s) to the machine learning model.

Abstract: A method includes receiving representations of a first set of dental impressions including a first dental impression of an upper dental arch of a user and a second dental impression of a lower dental arch of the user having been created using contents from an initial dental impression kit sent to the user, identifying a defective dental impression, sending a retake dental impression kit to the user where the retake dental impression kit includes a set of dental trays consisting of dental trays corresponding to the dental arch associated with the defective dental impression, receiving representations of a second set of dental impressions of the dental arch associated with the defective dental impression, and manufacturing, based on the second set of dental impressions, a plurality of dental aligners specific to the user and being configured to reposition one or more teeth of the user.

Abstract: Systems and methods for fabricating aligners include a central processing system and a dental aligner fabrication system. The central processing system includes or provides a patient intake portal corresponding to a first dentist or orthodontist who conducts an intraoral scan or administers an impression of the patient, a treatment plan portal corresponding to a treatment plan computing system which generates treatment plan data for the patient, and an approving dental portal corresponding to a second dentist or orthodontist who approves the treatment plan. The fabrication system includes fabrication equipment which produces one or more dental aligners based on the treatment plan data.

Abstract: Systems and methods for conducting intraoral scans of a mouth of a user include conducting, using an intraoral scanner at an intraoral scanning site, an intraoral scan of a mouth of a user based on determining that one or more teeth of the user are not being repositioned according to an initial treatment plan designed to reposition the one or more teeth of the user using a first plurality of aligners. The intraoral scan generates three-dimensional data of the mouth of the user. A corrective treatment plan is generated by a treatment plan computing system based on the three-dimensional data. A second plurality of aligners are produced at a fabrication site based on the corrective treatment plan. The second plurality of aligners are specific to the user and configured to reposition the teeth of the user according to the corrective treatment plan.

Abstract: Systems and methods directed to technological improvements in coordinated and distributed processing of intraoral scan data for fabricating clear aligners for dental realignment include an appointment management system that schedules an appointment at an intraoral scanning site and generates and causes transmission of a message to a computing device of a user. An intraoral scan that generates three-dimensional data of a mouth of the user is conducted at the intraoral scanning site using an intraoral scanner. Clear aligners that are specific to the user for repositioning the user's teeth are fabricated based on a treatment plan generated based on the three-dimensional data by thermoforming material over three-dimensional printed molds. The clear aligners are sent to the user all at once. The user receives orthodontic treatment without ever having physically seen a dentist or an orthodontist that approves the treatment plan.

Abstract: Systems and methods for generating a three-dimensional (3D) model of a user's dental arch based on two-dimensional (2D) images of dental impressions include a model training system that provides a machine learning model using training image(s) of a dental impression of a respective dental arch and a 3D training model of the respective dental arch. A model generation system receives first image(s) of a first dental impression of a user's dental arch and second image(s), which may be of the first dental impression or a second dental impression of the dental arch. The model generation system generates a first and second 3D model of the dental arch by applying the first image(s) and second image(s) to the machine learning model. A model merging system merges the first 3D model and the second 3D model to generate a merged model of the dental arch.

Abstract: Systems and methods relate to a mobile intraoral scanning site. The mobile intraoral scanning site includes a vehicle and one or more three-dimensional intraoral scanners provided on the vehicle and configured to perform intraoral dentition scans of users on the vehicle. The vehicle can include at least two compartments configured to be used as scan stations for performing the intraoral dentitions scans of the users on the vehicle. The vehicle can be retrofitted to be used for the mobile intraoral scanning site. The one or more three-dimensional intraoral scanners can be wall-mounted on the vehicle. The vehicle can be provided with an internet connection such that the intraoral dentition scans are uploaded to a cloud server via the internet connection. Messages can be sent to a plurality of individuals inviting the plurality of individuals to schedule an appointment to receive an intraoral dentition scan at the vehicle.

Abstract: A method of administering a dental impression kit includes receiving, from a user, a first set of dental impressions of an upper dental arch and a lower dental arch of the user and identifying, based on the first set of dental impressions, one or more defects in at least one dental impression of the first set of dental impressions. The method includes sending a dental impression kit to the user and receiving a second set of dental impressions, the second set of dental impressions replacing the at least one dental impression having the one or more defects. The method includes manufacturing dental aligners specific to the user and being configured to reposition one or more teeth of the user.