Abstract: A method includes receiving intraoral scan data of dental site of a patient, generating a virtual three-dimensional (3D) model of the dental site using the intraoral scan data, and outputting a view of the virtual 3D model to a display. The method further includes identifying a plurality of areas of interest (AOIs) on the virtual 3D model, determining adjustments to the view of the virtual 3D model to transition between views of the plurality of AOIs, and automatically adjusting the view of the virtual 3D model based on the determined adjustments.

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 method for preparing a tooth crown may include generating a 3D model of an external surface of a patient's tooth and generating a 3D model of an external surface of a first crown based on the 3D model of the external surface of the patient's tooth. The method may also include preparing the patient's tooth to receive the first crown while generating the 3D model of the external surface. A 3D model of the prepared tooth my be generated. A 3D model of an internal surface of the first crown may also be generated. The 3D model of the external surface and the 3D model of the internal surface may form a 3D model of the first crown.

Abstract: A processing device may receive a plurality of intraoral scans of the patient that were generated by an intraoral scanner, determine a three-dimensional surface of at least a portion of one or more dental arch of the patient using the plurality of intraoral scans, automatically determine whether a restorative dental object is represented in at least one of the three-dimensional surface or one or more intraoral scans of the plurality of intraoral scans, and automatically generate a prescription for treating the one or more teeth based at least in part on at least one of a) a presence or absence of a restorative dental object in at least one of the three-dimensional surface or the one or more intraoral scans or b) a location of the restorative dental object in the one or more dental arch of the patient.

Abstract: A method of generating a 3D model includes: determining a 3D surface comprising a preparation tooth using a first plurality of intraoral scans generated by an intraoral scanner at a first time; receiving one or more additional intraoral scans of the preparation tooth that were generated by the intraoral scanner at a second time; determining a change to one or more portions of the preparation tooth between the three-dimensional surface and the one or more additional intraoral scans; determining, based at least in part on the change to the preparation tooth, whether to use a) the 3D surface, b) data from the one or more additional intraoral scans or c) a combination of the 3D surface and the data from the one or more additional intraoral scans to depict one or more portions of the preparation tooth; and generating the 3D model comprising the preparation tooth.

Abstract: A method for preparing a tooth crown may include generating a 3D model of an external surface of a patient's tooth and generating a 3D model of an external surface of a first crown based on the 3D model of the external surface of the patient's tooth. The method may also include preparing the patient's tooth to receive the first crown while generating the 3D model of the external surface. A 3D model of the prepared tooth my be generated. A 3D model of an internal surface of the first crown may also be generated. The 3D model of the external surface and the 3D model of the internal surface may form a 3D model of the first crown.

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: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods an include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.

Abstract: A processing device receives a plurality of intraoral scans of a dental arch. The processing device determines, from the plurality of intraoral scans, a first set of intraoral scans that depict a restorative object and a second set of intraoral scans that fail to depict any restorative object. The processing device generates a multi-resolution three-dimensional model of the dental arch, wherein a first portion of the multi-resolution three-dimensional model is generated from the first set of intraoral scans, has a first resolution and represents the restorative object, and wherein a second portion of the multi-resolution three-dimensional model is generated from the second set of intraoral scans, has a second resolution and represents a remainder of the dental arch, wherein the first resolution is greater than the second resolution.

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: An intraoral scanning system comprises an intraoral scanner and a computing device. The intraoral scanner is to configured to generate intraoral scan data of a bite of a patient. The computing device is configured to receive the intraoral scan data of the bite of the patient during scanning of the bite of the patient, wherein each datum of the intraoral scan data shows a portion of a lower dental arch and a portion of an upper dental arch of the patient. The computing device determines a difference in a relative position of the lower dental arch to the upper dental arch between at least a first datum of the intraoral scan data and a second datum of the intraoral scan data and performs a remedial action responsive to determining that the difference in the relative position of the lower dental arch to the upper dental arch exceeds a difference threshold.

Abstract: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods can include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.

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 includes receiving intraoral scan data of an intraoral cavity of a patient; processing the intraoral scan data to determine, for each dental condition of a plurality of dental conditions, whether the dental condition is detected for the patient and a severity of the dental condition; and presenting indications of the plurality of dental conditions together in a graphical user interface (GUI), wherein the indications show, for each dental condition of the plurality of dental conditions, whether the dental condition was detected for the patient and the severity of the dental condition.

Abstract: A method may include obtaining a first 3D model of an upper jaw of a patient using an intraoral scanner and obtaining a second 3D model of the lower jaw of the patient using the intraoral scanner. The method may also include capturing a series of 2D images of the upper and lower jaws of the patient as the patient is moves the upper jaw and lower jaw in dynamic occlusion and processing the captured series of 2D images to identify features associated with the upper jaw of the patient and the lower jaw of the patient. For each 2D image in the captured series of 2D images, the method may include identifying a relative position of the first 3D model and the second 3D model based on alignment of features in the first 3D model and second 3D model with the features identified in the 2D image to generate a series of relative positions of the first 3D model and the second 3D model.

Abstract: A method of intraoral scanning includes receiving a plurality of intraoral scans of a dental site during an intraoral scanning session, generating a three-dimensional (3D) surface of the dental site from the plurality of intraoral scans, identifying hard tissue and soft tissue in at least one of a) the plurality of intraoral scans of the dental site or b) the 3D surface of the dental site, and displaying a view of the 3D surface, wherein a first visualization is used to display first portions of the 3D surface identified as hard tissue and a second visualization is used to display second portions of the 3D surface identified as soft tissue.

Abstract: A method for preparing a tooth crown may include generating a 3D model of an external surface of a patient's tooth and generating a 3D model of an external surface of a first crown based on the 3D model of the external surface of the patient's tooth. The method may also include preparing the patient's tooth to receive the first crown while generating the 3D model of the external surface. A 3D model of the prepared tooth my be generated. A 3D model of an internal surface of the first crown may also be generated. The 3D model of the external surface and the 3D model of the internal surface may form a 3D model of the first crown.

Abstract: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods an include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.

Abstract: A processing device receives a plurality of intraoral scans of a dental arch. The processing device determines, from the plurality of intraoral scans, a first set of intraoral scans that depict a restorative object and a second set of intraoral scans that fail to depict any restorative object. The processing device generates a multi-resolution three-dimensional model of the dental arch, wherein a first portion of the multi-resolution three-dimensional model is generated from the first set of intraoral scans, has a first resolution and represents the restorative object, and wherein a second portion of the multi-resolution three-dimensional model is generated from the second set of intraoral scans, has a second resolution and represents a remainder of the dental arch, wherein the first resolution is greater than the second resolution.

Abstract: A method of generating a 3D model includes: determining a 3D surface comprising a preparation tooth using a first plurality of intraoral scans generated by an intraoral scanner at a first time; receiving one or more additional intraoral scans of the preparation tooth that were generated by the intraoral scanner at a second time; determining a change to one or more portions of the preparation tooth between the three-dimensional surface and the one or more additional intraoral scans; determining, based at least in part on the change to the preparation tooth, whether to use a) the 3D surface, b) data from the one or more additional intraoral scans or c) a combination of the 3D surface and the data from the one or more additional intraoral scans to depict one or more portions of the preparation tooth; and generating the 3D model comprising the preparation tooth.