Abstract: Systems and methods including: receiving, from a digital imaging device, one or more 2D images of a patient's face including a mouth region, where the one or more 2D images include a depiction of the patient's teeth in an initial arrangement; generating, using a neural network, a 2D rendering depicting a post-treatment arrangement of the patient's teeth based on the one or more received 2D images; generating a realistic composite 2D image depicting the patient's face with the 2D rendering depicting the post-treatment arrangement of the patient's teeth, where the generating includes positioning the 2D rendering within a mouth opening of the patient's face in the realistic composite 2D image; and sending the realistic composite 2D image to an output device for display on a user interface of the output device.

Abstract: Method, systems, and devices including: accessing a 3D model including a virtual representation of a patient's dentition at a treatment stage of an orthodontic treatment plan; obtaining an image of the patient's face and at least a portion of the patient's dentition; projecting the obtained image into a 3D space to create a projection of the patient's face and the at least the portion of the patient's dentition; generating a modified image of the patient representing the patient in the treatment stage of the orthodontic treatment plan, where the modified image is formed by combining the patient's dentition of the accessed 3D model with the patient's face of the projection; and sending instructions to display the modified image of the patient on an output device.

Abstract: Methods and systems including: receiving one or more 2D images of a patient's face including a depiction of the patient's teeth in an initial arrangement; extracting teeth contours of the patient's teeth from within the mouth region of the one or more received 2D images of the patient's face; generating, using a neural network, a 2D rendering depicting a post-treatment arrangement of the patient's teeth based on the one or more received 2D images; generating a realistic composite 2D image depicting the patient's face with the 2D rendering depicting the post-treatment arrangement of the patient's teeth; and sending the realistic composite 2D image for display on a user interface of an output device.

Abstract: A mobile device comprises a display, an image capture device that generates image data of a face of a viewer of the display, and a processing device. The processing device receives the image data and sends the image data to a computing device. The computing device processes the image data to identify a position of a dental arch in the image data; determines a treatment outcome for the dental arch; generates a post-treatment image of the dental arch that shows the treatment outcome; generates updated image data comprising a superimposition of the post-treatment image of the dental arch over the received image data; and sends the updated image data to the mobile device. The mobile device outputs the updated image data to the display, wherein the post-treatment image of the dental arch is superimposed over the dental arch in the received image data such that the post-treatment image is visible in the display rather than a true depiction of the dental arch.

Abstract: Systems and methods for generating a virtual depiction of an orthodontic treatment of a patient are provided. In some embodiments, a system includes one or more processors, and a memory operably coupled to the one or more processors. The memory can include instructions that, when executed by the one or more processors, cause the system to perform operations including: receiving one or more 2D images of a patient’s face including a mouth region; extracting teeth contours of the patient’s teeth from within the mouth region of the received 2D images; generating, using a neural network, a 2D rendering depicting a post-treatment arrangement of the patient’s teeth; generating a realistic composite 2D image depicting the patient’s face with the 2D rendering depicting the post-treatment arrangement of the patient’s teeth; and sending the realistic composite 2D image to an output device for display on a user interface of the output device.

Abstract: Methods and systems for generating composite images of a patient and models of the patient's dentition are provided. In some embodiments, a method includes generating a plurality of 3D models, each comprising a virtual representation of the patient's dentition at different treatment stages of a treatment plan and obtaining an image of the patient's face and dentition. The method can include projecting the obtained image into a 3D space to create a projected 3D model of the patient's face and dentition. The method can also include generating a plurality of modified images, each representing the patient in a treatment stage of the treatment plan and formed by combining the patient's dentition of one of the 3D models with the patient's face of the projected 3D model. A modified image corresponding to a selected treatment stage and a corresponding 3D model can be provided for display.

Abstract: A method for use in additively manufacturing an orthodontic aligner may include receiving a digital model of an aligner, processing the digital model of the aligner to modify the digital model based on predicted deviations during fabrication to generate a first updated digital model of the aligner, determining that whether the predicted deviations of a physical aligner additively manufactured based on the first updated digital model of the aligner are acceptable, and outputting the first updated digital model of the aligner for fabrication of the physical aligner by additive manufacture of the physical aligner.

Abstract: Methods for designing orthodontic appliances are provided. In some embodiments, a method includes receiving a treatment plan for a patient's dentition and generating an aligner model representing an aligner configured to implement a treatment stage of the treatment plan. The aligner model can include a thickness map having a thickness parameter for each location of the aligner model. The method can include adjusting the thickness map by using the aligner model to evaluate an outcome when the aligner is applied to the patient's dentition, and iteratively reducing the value of each thickness parameter of the thickness map based on the evaluation until a resulting thickness is determined for each thickness parameter. The method can also include providing instructions to manufacture the aligner based on the aligner model with the resulting thickness for each thickness parameter of the thickness map.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: A mobile computing device comprises an AR display, an image capture device that generates image data of a face of a viewer of the AR display, and a processing device. The processing device receives the image data; processes the image data to identify a position of a dental arch in the image data; determines a treatment outcome for the dental arch; generates a post-treatment image of the dental arch that shows the treatment outcome; generates updated image data comprising a superimposition of the post-treatment image of the dental arch over the received image data depicting the face of the viewer; and outputs the updated image data to the AR display, wherein the post-treatment image of the dental arch is superimposed over the dental arch in the received image data such that the post-treatment image is visible in the AR display rather than a true depiction of the dental arch.

Abstract: Methods and systems for producing orthodontic appliances are provided herein utilizing iterative modeling techniques to increase the efficiency and efficacy of said appliances. Further disclosed herein are the orthodontic appliances fabricated from such methods.

Abstract: A computer-implemented method for generating a virtual depiction of an orthodontic treatment of a patient is disclosed herein. The computer-implemented method may involve gathering a three-dimensional (3D) model modeling the patient's dentition at a specific treatment stage of an orthodontic treatment plan. An image of the patient's face and dentition may be gathered. A first set of reference points modeled on the 3D model of the patient's dentition and a second set of reference points represented on the dentition of the image of the patient may be received. The image of the patient's dentition may be projected into a 3D space to create a projected 3D model of the image of the patient's dentition. Based on a comparison of the first reference points and projections of the second set of reference points, a plurality of modified images of the patient may be constructed to depict progressive stages of a treatment plan.

Abstract: A computer-implemented method for generating a virtual depiction of an orthodontic treatment of a patient is disclosed herein. The computer-implemented method may involve gathering a three-dimensional (3D) model modeling the patient's dentition at a specific treatment stage of an orthodontic treatment plan. An image of the patient's face and dentition may be gathered. A first set of reference points modeled on the 3D model of the patient's dentition and a second set of reference points represented on the dentition of the image of the patient may be received. The image of the patient's dentition may be projected into a 3D space to create a projected 3D model of the image of the patient's dentition. Based on a comparison of the first reference points and projections of the second set of reference points, a plurality of modified images of the patient may be constructed to depict progressive stages of a treatment plan.

Abstract: The present disclosure provide for methods of planning restorative procedures. Methods may involve identifying an initial position of a patient's teeth based on a digital representation of the patient's teeth, and determining one or more candidate orthodontic positions for the patient's teeth, wherein each of the one or more candidate orthodontic positions is a target position of the patient's teeth being considered. Methods may further involve virtually modeling a first restorative object at a first evaluated restorative object position on one of the patient's teeth, evaluating a first amount of tooth mass removal corresponding to the first restorative object based on the first evaluated restorative object position and one of the candidate orthodontic positions, and determining a final orthodontic position and a final restorative object position based on the first amount of tooth mass removal.

Abstract: A mobile computing device comprises an AR display, an image capture device that generates image data of a face of a viewer of the AR display, and a processing device. The processing device receives the image data; processes the image data to identify a position of a dental arch in the image data; determines a treatment outcome for the dental arch; generates a post-treatment image of the dental arch that shows the treatment outcome; generates updated image data comprising a superimposition of the post-treatment image of the dental arch over the received image data depicting the face of the viewer; and outputs the updated image data to the AR display, wherein the post-treatment image of the dental arch is superimposed over the dental arch in the received image data such that the post-treatment image is visible in the AR display rather than a true depiction of the dental arch.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: A kiosk comprises an AR display, an image capture device that generates image data of a face of a viewer of the AR display, and a processing device. The processing device receives the image data of the face; processes the image data to identify a position of a dental arch in the image data; determines a treatment outcome for the dental arch; generates a post-treatment image of the dental arch that shows the treatment outcome; generates updated image data comprising a superimposition of the post-treatment image of the dental arch over the received image data depicting the face of the viewer; and outputs the updated image data to the AR display, wherein the post-treatment image of the dental arch is superimposed over the dental arch in the received image data such that the post-treatment image is visible in the AR display rather than a true depiction of the dental arch.

Abstract: A computer-implemented method for generating a virtual depiction of an orthodontic treatment of a patient is disclosed herein. The computer-implemented method may involve gathering a three-dimensional (3D) model modeling the patient's dentition at a specific treatment stage of an orthodontic treatment plan. An image of the patient's face and dentition may be gathered. A first set of reference points modeled on the 3D model of the patient's dentition and a second set of reference points represented on the dentition of the image of the patient may be received. The image of the patient's dentition may be projected into a 3D space to create a projected 3D model of the image of the patient's dentition. Based on a comparison of the first reference points and projections of the second set of reference points, a modified image of the patient may be constructed and/or modeled.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: A computer-implemented method for virtually representing an orthodontic treatment outcome using automated detection of facial and dental reference objects is disclosed herein. The computer-implemented method may involve modeling initial positions of an orthodontic patient's teeth in a three-dimensional (3D) virtual model and determining the effect of application of various force systems applied through an orthodontic treatment plan on the patient's teeth. Images of the patient's face may be used to identify facial reference objects. Dental reference objects of the patient's dentition may be identified from the 3D virtual model. A relationship between the facial reference objects and the dental reference objects may form the basis of modifications to the orthodontic treatment plan and/or modeling final orthodontic positions of the orthodontic treatment plan.