Abstract: A device for repositioning a patient's teeth includes a shell having a shape corresponding to the patient's teeth and including an inner surface, where the inner surface is configured to engage with the patient's teeth. The device also includes at least one region of the inner surface having a higher frictional coefficient than a remaining portion of the inner surface, and where the at least one region is configured to apply a force to at least one tooth of the patient's teeth, wherein the at least one region comprises a local variation in geometry relative to a remainder of the inner surface.

Abstract: Systems and methods for fabricating a dental aligner are provided. The system includes a computing system to receive and prepare a digital model of a dental aligner by adding one or more support structures to the digital model. The system includes a fabrication system to manufacture the dental aligner with the one or more support structures. The system includes a laser system to receive the fabricated dental aligner, orient the dental aligner relative to the laser system, and laser cut an interface between the support structures and the dental aligner to remove the one or more support structures from the dental aligner.

Abstract: A method includes receiving a digital model of a dentition comprising at least one tooth comprising a plurality of tooth faces, determining a factor of engagement for each of the plurality of tooth faces, determining an addressable area of the at least one tooth based on the factors of engagement of the plurality of tooth faces, identifying an area of engagement of the at least one tooth where the area of engagement comprises at least a portion of the addressable area and where the portion comprises at least one tooth face accessible by a dental appliance to apply a force to the at least one tooth to effectuate the movement, and outputting a controllability score for the at least one tooth based on the area of engagement.

Abstract: Systems and methods for generating a user skeletal model are disclosed herein. A method includes receiving, by one or more processors, a digital representation of a user. The digital representation comprises at least one of a 2D image or a video. The method includes retrieving, by the one or more processors, a template skeletal model. The method includes adjusting, by the one or more processors, the template skeletal model to match a profile of the user depicted in the digital representation. The method includes generating, by the one or more processors, a user skeletal model that resembles a skeleton of the user.

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: Systems and methods for fabricating a dental aligner are provided. The system includes a computing system to receive and prepare a digital model of a dental aligner by adding one or more support structures to the digital model. The system includes a fabrication system to manufacture the dental aligner with the one or more support structures. The system includes a laser system to receive the fabricated dental aligner, orient the dental aligner relative to the laser system, and laser cut an interface between the support structures and the dental aligner to remove the one or more support structures from the dental aligner.

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. The dentition includes a model tooth in a first position. The method includes receiving a digital representation comprising a patient tooth. The patient tooth corresponds to the model tooth of the first 3D model. The method includes determining a virtual camera parameter associated with the digital representation. The method includes adjusting the virtual camera parameter to determine a 3D position of the corresponding patient tooth. The method includes moving the model tooth of the first 3D model from the first position to a second position. The second position corresponds to the 3D 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 one or more processors coupled to non-transitory memory, and the one or more processors are configured to receive a first image representing at least a portion of a mouth of a user, execute a first machine-learning architecture trained to generate a set of features from the first image, determine, based on the set of features, that the first image satisfies at least one criteria for executing a second machine-learning architecture based on the first image, and generate, based on the first image satisfying the at least one criteria, a prompt indicating feedback for capturing a second image representing at least a second portion of the mouth of the user.

Abstract: A system includes a model generation system configured to receive one or more dental images corresponding to a dental arch of a user, generate a three-dimensional (3D) model of at least a portion of the dental arch of the user by applying the one or more dental images to a machine learning model to generate the 3D model where the machine learning model is trained based on at least one of one or more training images or one or more three-dimensional (3D) training models, and output the 3D model of the at least the portion of the dental arch to one or more computing devices.

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: 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 one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to receive a two-dimensional (2D) representation provided by a user device where the 2D representation represents one or more teeth of a user, generate a three-dimensional (3D) representation of the one or more teeth of the user based on the 2D representation, generate a treatment plan for moving the one or more teeth of the user based on the 3D representation, and provide a graphical visualization of the treatment plan to the user device, wherein the graphical visualization is configured to enable the user to make a selection.

Abstract: Systems and methods for determining movement of teeth include receiving a first 3D representation of a dentition comprising a plurality of teeth of a patient in an initial position, the 3D representation comprising a plurality of tooth representations including a plurality of points representing surfaces of a respective tooth of the dentition, generating, for each tooth representation, a compressed tooth representation using a geometric encoder model trained to compress the 3D representation of the detention, determining tooth movements of the plurality of teeth of the dentition from the initial position to a final position by applying each compressed tooth representation to a final position model trained to output movement of teeth of a dentition from initial positions to final positions, generating another 3D representation of the dentition comprising the plurality of teeth of the patient in the final position based on applying the tooth movements to the first 3D representations.

Abstract: Systems, methods, and computer readable medium of visualizing a treatment of teeth includes capturing, by a user device, a representation representing one or more teeth of a user via a camera of a user device, transmitting, by the user device, the representation to a treatment planning system, receiving, by the user device, a graphical visualization of a treatment plan for moving the one or more teeth of the user from the treatment planning system, the graphical visualization generated based on the representation, displaying, by the user device, the graphical visualization, wherein the graphical visualization comprises a three-dimensional (3D) representation corresponding to the one or more teeth of the user and an interactive object associated with the treatment plan.

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 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 for obtaining an orthodontic treatment plan is provided. The method comprises obtaining a treatment plan for treatment of a tooth of a patient, the treatment plan including two or more stage force values, wherein each of the two or more stage force values is based on a target orthodontic force value that is based on one or more determinate points of periodontal ligament (PDL) behavior data. For each of the two or more stage force values, the method includes determining configuration parameters for configuring an orthodontic appliance to apply the stage force value to a tooth of the patient; and, using the configuration parameters to manufacture an orthodontic appliance configured to apply the stage force value.