Abstract: Disclosed is a computer-implemented method that includes receiving, by one or more processors, a three-dimensional (3D) representation of a user's mouth where the 3D representation is a mesh representation comprising a plurality of surfaces; mapping, by the one or more processors, the 3D representation of the user's mouth into a two-dimensional (2D) space; encoding, one or more 3D surface characteristics of the plurality of surfaces using one or more channels of a 2D representation; applying, by the one or more processors, a machine learning model to the representation of the user's mouth in 2D space, the machine learning model trained to enhance the representation of the user's mouth in 2D space; and mapping, by the one or more processors, the enhanced representation of the user's mouth in 2D space to an enhanced representation of the user's mouth in 3D space using the one or more surface characteristics.

Abstract: A mobile device comprises a processing circuit to capture a two-dimensional (2D) representation representing one or more teeth of a user using a camera where the user is a patient seeking treatment, generate a three-dimensional (3D) representation of the one or more teeth based on the 2D representation using an artificial intelligence model where the 3D representation depicts the one or more teeth of the user in a final position, display a graphical visualization including the 3D representation where the graphical visualization is configured to enable the user to make a selection, and causing an order for at least one dental aligner for repositioning the one or more teeth of the user according to a treatment plan to a position corresponding with the final position to be transmitted over a cellular network to a fabrication system where the order initiates a payment using payment information of 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 and a model generation system where the model training system is configured to receive a plurality of data packets of a training set, identify, a plurality of correlation points between 2D training images and a 3D training model of the respective dental arch for each data packet, and generate a machine learning model configured to generate 3D models of dental arches from 2D images of the dental arches. The model generation system is configured to receive one or more 2D images of a dental arch of a user obtained by a portable device of the user, and generate a 3D model of the dental arch of the user by applying the one or more 2D images of the dental arch to the machine learning model.

Abstract: A method includes receiving, by a computing system, a plurality of digital models corresponding to a plurality of dental aligners each configured to move one or more teeth based on one or more treatment plans; analyzing, by the computing system, a geometric characteristic of the plurality of digital models; preparing, by the computing system, the plurality of digital models for manufacturing the plurality of dental aligners by adding one or more support structures to at least one digital model of the plurality of digital models based on the analysis; forming, via additive manufacturing, the plurality of dental aligners including at least one dental aligner with the one or more support structures; receiving, by a laser system, the at least one dental aligner; and cutting, by the laser system, the one or more support structures from the at least one 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 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.

Abstract: A method may include generating a 2D blank that can form a 3D dental aligner via thermoforming. The 2D blank may include a first material that includes a first discontinuity. The 2D blank may include a second material integrally formed within the first discontinuity. The first material may have a higher stiffness than the second material. The method may include thermoforming the 2D blank to form the 3D dental aligner having variable stiffness.

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 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: 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 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, 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.