Abstract: A method for dental treatment may include generating an initial digital model of a patient's oral cavity and generating a first updated digital model of the patient's oral cavity, the first updated digital model including data representing stained locations on the patient's oral cavity. The method may also include comparing the initial digital model to the first updated digital model to identify locations of an oral problem.

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: Provided herein are devices and methods generating a panoramic rendering of a subject’s teeth. Methods and processes are provided to image the subject’s teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject’s teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject’s dentition from various perspectives.

Abstract: Provided herein are devices and methods generating a panoramic rendering of a subject's teeth. Methods and processes are provided to image the subject's teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject's teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject's dentition from various perspectives.

Abstract: Provided herein are systems for monitoring a subject's teeth during orthodontic treatment. In particular, described herein are apparatuses having a fixed focal length for coupling to a patient's smartphone, including a built-in lip/cheek retractor. These smartphone dental imaging apparatuses may be configured to easily and robustly interface with the user's smartphone to allow capture of dental images.

Abstract: In embodiments set forth herein, an intraoral scanning system includes a first intraoral scanner, a second intraoral scanner, and a computing device wirelessly connected to both the first intraoral scanner and the second intraoral scanner. The computing device receives first intraoral scan data from the first intraoral scanner and generates a first three-dimensional (3D) surface of at least a portion of a first patient's dental arch based on the first intraoral scan data. The computing device further receives second intraoral scan data from the second intraoral scanner and generates a second 3D surface of at least a portion of a second patient's dental arch based on the second intraoral scan data.

Abstract: A first computing device receives a command to associate the first computing device with an intraoral scanner, the command comprising an identifier. The first computing device wirelessly connects with a second computing device, and sends the identifier to the second computing device. The second computing device wirelessly connects to the intraoral scanner and associates the first computing device with the intraoral scanner. Subsequently, intraoral scan data generated by the first intraoral scanner is sent to the second computing device, the intraoral scan data is processed by the second computing device to generate a three-dimensional surface of a dental site, the three-dimensional surface or a view of the three-dimensional surface of the dental site is sent to the first computing device, and the three-dimensional surface or the view of the three-dimensional surface of the dental site is displayed by the first computing device.

Abstract: In embodiments set forth herein, an intraoral scanner comprises a body, a probe at one end of the body, the probe comprising a scanner head, a wireless communication module disposed within the body, one or more optical sensor, and a touchscreen disposed on the body. The one or more optical sensor is to receive light that enters the scanner head and generate intraoral scan data based on the light, wherein the wireless communication module is to wirelessly send the intraoral scan data to a first computing device. The touchscreen is configured to output a plurality of virtual buttons, detect a touch input associated with a virtual button of the plurality of virtual buttons, and provide a signal associated with the touch input of the virtual button to the first computing device.

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 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 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.

Abstract: A method of intraoral scanning includes receiving a first one or more intraoral scans of a patient's oral cavity; automatically determining, based on processing of the first one or more intraoral scans, a first scanning role associated with the first one or more intraoral scans, wherein the first scanning role is a first one of an upper dental arch role, a lower dental arch role or a bite role; and determining a first three-dimensional surface associated with the first scanning role.

Abstract: Provided herein are systems and methods for monitoring a subject's teeth during orthodontic treatment. A wide angle (e.g., fisheye) image showing an occlusal view of both arches of the subject's dentition and may be input into a monitoring system configured compare the image to the treatment plan to determine how closely the current position of the subject's teeth tracks with the expected or desired positions according to the orthodontic treatment plan.

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: 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: Provided herein are devices and methods generating a panoramic rendering of a subject's teeth. Methods and processes are provided to image the subject's teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject's teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject's dentition from various perspectives.

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, the image comprising a height map. 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 system securely forming a short distance wireless network has a first device for generating a first signal including an identification symbol; and a second device for receiving the first signal over a wired data connection or proximity based wireless connection between the first and the second devices. The second device generates a second signal responsive to the second device generating a first signal including the identification symbol and receiving a second signal including a pairing message.