Abstract: A method is provided for optimizing a dental treatment plan. In some cases, the method can include receiving patient data comprising one or more progress indicators associated with an dental treatment plan, processing the patient data to determine a level of progression associated with the dental treatment plan based on the one or more progress indicators, modifying the dental treatment plan in response to the determined level of progression, and generating a notification of the modified dental treatment plan. In some cases, modifying the dental treatment plan in response to the determined level of progression includes advancing a patient associated with the patient data to a subsequent stage of the dental treatment plan or retaining the patient within a current stage of the dental treatment plan.

Abstract: A method comprises receiving, by a processing device, clinical data of a first state of one or more dental arches of a patient. The method further comprises determining, by the processing device, one or more stages of an orthodontic treatment plan for correcting the one or more dental arches based on processing of the clinical data. Determining a stage of the orthodontic treatment plan comprises determining one or more actions to be performed with respect to the one or more dental arches and determining a target state of the one or more dental arches that is predicted to result at least in part from the one or more actions.

Abstract: In embodiments, a processing device detects a margin line in a model of a preparation from one or more images. The processing device determines, for each segment of a plurality of segments of the margin line, a quality score for the segment. The processing device determines that a segment of the margin line has a quality score that is below a quality threshold, wherein the segment of the margin line was generated based on a first set of images. Responsive to determining that the segment of the margin line has the quality score that is below the quality threshold, the processing devices updates the three-dimensional model of the preparation by replacing a portion of the three-dimensional model associated with the segment of the margin line with image data from at least one of a new image or a second set of images.

Abstract: A computing device comprises a memory to store instructions and one or more processors operatively coupled to the memory. Execution of the instructions causes the one or more processors to calculate a quality metric for a region of interest in a received image of a face of a person that comprises a current dentition of the person, wherein data for pixels inside of the region of interest is used to calculate the quality metric, and wherein data for pixels of a second region that is outside of the region of interest is not used to calculate the quality metric; determine whether the quality metric satisfies a criterion; and responsive to determining that the quality metric satisfies the criterion, generate a modified version of the image, wherein the current dentition of the person is replaced with a post-treatment dentition of the person in the modified version of the image.

Abstract: A system comprises a memory and one or more processors operatively connected to the memory. The one or more processors receive a facial image comprising a two-dimensional (2D) depiction of a person's teeth at a first arrangement and receive a tooth model comprising a three-dimensional (3D) depiction of the person's teeth at a second arrangement. The one or more processors obtain color information from the facial image, wherein the color information represents a color scheme of the person's teeth at the first arrangement. The one or more processors generate a photo-realistic 2D depiction of the person's teeth at the second arrangement using the 3D depiction of the person's teeth at the second arrangement and the color information obtained from the facial image. The one or more processors send the photo-realistic 2D depiction of the person's teeth at the second arrangement for display on a display device.

Abstract: A system includes a memory and a processing device operatively coupled to the memory. The processing device receives an image of a smile of an individual comprising initial contours of teeth of the individual, receives or generates image data comprising target contours of the teeth of an individual, and generates a new image based on the received image data and one or more parametric functions associated with tooth color determined from the image of the smile, wherein a shape of the teeth in the new image is based on the received image data and a color of the teeth in the new image is based on applying the one or more parametric functions to at least a portion of the image data.

Abstract: Embodiments may include: receiving a facial image comprising a 2D depiction of a person's teeth at a first arrangement; receiving a tooth model comprising a 3D depiction of the person's teeth at a second arrangement; obtaining color information from the facial image, wherein the color information represents a color scheme of the person's teeth at the first arrangement; and generating a photo-realistic two-dimensional depiction of the person's teeth at the second arrangement using the 3D depiction of the person's teeth at the second arrangement and the color information obtained from the facial image.

Abstract: A system comprises an intraoral scanner configured to generate scan data comprising a plurality of images of a first and second dental site, wherein each of the plurality of images comprises a time stamp and height information. The system further comprises a computing device configured to: receive the scan data; determine a first subset of the images to use for the first dental site based at least in part on a) time stamps of images in the first subset and b) geometrical data of the images in the first subset; determine a second subset of the images to use for the second dental site based at least in part on a) time stamps of images in the second subset and b) geometrical data of the images in the second subset; and generate a three-dimensional model of at least a portion of a dental arch.

Abstract: Embodiments include receiving image data comprising contours of teeth of an individual and generating a new image based on the image data and one or more parametric functions associated with tooth color that comprise a first variable for a first image axis and a second variable for a second image axis, wherein a shape of the teeth in the new image is based on the image data and a color of the teeth in the new image is based on applying the one or more parametric functions to at least a portion of the image data.

Abstract: A processing device receives an image and calculates a sharpness metric for a region of interest of the image. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

Abstract: In embodiments, a processing device generates a three-dimensional model of a dental site from scan data, the three-dimensional model comprising a representation of a tooth, wherein a portion of the three-dimensional model comprises an interfering surface that obscures a portion of the tooth. The processing device receives or generates an image of the tooth, wherein the image depicts the interfering surface. The processing device processes the image to generate a modified image, wherein the portion of the tooth that was obscured by the interfering surface in the image is shown in the modified image. The processing device updates the three-dimensional model of the dental site by replacing, using the modified image, the portion of the three-dimensional model that comprises the interfering surface that obscures the portion of the tooth, wherein the portion of the tooth that was obscured in the three-dimensional model is shown in an updated three-dimensional model.

Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates intraoral scans of a dental site. The computing device processes the intraoral scans using a trained machine learning model to classify points of the intraoral scans into first points having a first dental class and second points having a second dental class; generates a 3D model of the dental site from the intraoral scans; determines first points of the 3D model having the first dental class based on the first points of the intraoral scans and second points of the virtual 3D model having the second dental class based on the second points of the intraoral scans; and removes data for a plurality of the first points of the virtual 3D model having the first dental class to generate a modified virtual 3D model.

Abstract: A method includes receiving a selection of an image of a face of an individual from a plurality of images of the face of the individual, determining an orientation of a jaw of the individual in the selected image, and updating an orientation of a three-dimensional (3D) model of a dental arch of the individual to match the orientation of the jaw of the individual in the selected image.

Abstract: A method includes capturing a video comprising a plurality of frames of a face of an individual, determining that the video fails to satisfy one or more quality criteria, and providing guidance of one or more actions to be performed by the individual to cause an updated video to satisfy the one or more quality criteria.

Abstract: Provided herein are systems and methods for scoring a post-treatment tooth position of a patient's teeth. A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output the post-treatment tooth position of the patient's teeth.

Abstract: A method includes receiving a video comprising a face of an individual, the video comprising a current condition of a dental site of the individual. The method includes determining or receiving an altered condition of the dental site and modifying the video by replacing the current condition of the dental site with the altered condition of the dental site in the video.

Abstract: Methods and systems are described that mark and/or correct margin lines and/or other features of dental sites. In one example a three-dimensional model of a dental site is generated from intraoral scan data of the dental site, the three-dimensional model comprising a representation of a preparation tooth. An image of the preparation tooth is received or generated. Data from the image is processed using a trained machine learning model that has been trained to identify margin lines of preparation teeth, wherein the trained machine learning model outputs a probability map comprising, for each pixel in the image, a probability that the pixel depicts a margin line. The three-dimensional model of the dental site is then updated by marking the margin line on the representation of the preparation tooth based on the probability map.

Abstract: A method for treatment-based photo guidance may include receiving a treatment plan, determining the movement of a first one or more teeth based on the movement of tooth models in the treatment plan, and determining one or more photo views for capturing the movement of the first one or more teeth.

Abstract: A method for dental treatment may include receiving photos of a patient's dentition, gathering treatment parameters for at treatment plan. The treatment parameters may represent attributes of the treatment plan selected by a doctor for the patient's dentition of a patient. The method may include generating, using the photos and the treatment parameters, one or more intelligent guidance rules to guide application of at least a portion of the treatment parameters to the patient's dentition, generating instructions to apply the intelligent patient guidance rules to the patient's dentition, and providing the instructions to the patient to apply the at least a portion of the treatment plan in accordance with the intelligent patient guidance rules.

Abstract: A method for image-based orthodontic treatment may include receiving image data of a patient's dentition and an orthodontic appliance, identifying, from the image data, the orthodontic appliance, calculating a misalignment height of a misalignment of the orthodontic appliance with respect to the patient's dentition, determining whether the misalignment height satisfies a misalignment threshold, and in response to satisfying the misalignment threshold, providing a notification.