Abstract: Systems and methods for evaluating a patient's intraoral health are provided. In some embodiments, a method includes receiving scan data of a patient's intraoral cavity; receiving additional data for the patient, the additional data being different from the scan data; determining a first prediction of a condition of the intraoral cavity based on the scan data; determining a second prediction of a condition of the intraoral cavity based on the additional data; generating a predicted condition for the intraoral cavity based on a combination of the first and second predictions; and outputting an indication of the predicted condition on a display.

Abstract: A system comprises an intraoral scanner comprising one or more cameras that define a field of view (FOV) of the intraoral scanner, and a computing device. The computing device is configured to: process intraoral scans to generate a three-dimensional (3D) surface of a dental site during an intraoral scanning session; output a representation of the 3D surface to a display; determine a current position and orientation of the FOV of the intraoral scanner relative to the 3D surface; output a representation of the FOV of the intraoral scanner at the current position and orientation relative to the 3D surface to the display; determine suggested next positions and orientations of the FOV of the intraoral scanner relative to the 3D surface; and output the suggested next positions and orientations of the FOV of the intraoral scanner relative to the 3D surface to the display.

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: Methods and apparatuses for taking, using and displaying three-dimensional (3D) volumetric models of a patient's dental arch. A 3D volumetric model may include surface (e.g., color) information as well as information on internal structure, such as near-infrared (near-IR) transparency values for internal structures including enamel and dentin.

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: Embodiments relate to techniques for real-time and post-scan visualization of intraoral scan data, which may include 3D images, 3D scans, 3D surfaces and/or 3D models. In one embodiment, an intraoral scanning system comprises a plurality of image sensors to periodically generate a set of intraoral two-dimensional (2D) images, wherein for each set of intraoral 2D images each image sensor of the plurality of image sensors is to generate an intraoral 2D image, and wherein relative positions and orientations of the plurality of image sensors are known. The intraoral scanning system further comprises a computing device, wherein the computing device is to perform the following for each set of intraoral 2D images: generate a combined intraoral image based on merging the set of intraoral 2D images together during scanning; and output the combined intraoral image to a display.

Abstract: Methods and apparatuses that may improve the accuracy of three-dimensional (3D) models may compare one or more geometric properties from corresponding 2D images. The 3D model (e.g., mesh model) and the 2D images may be taken from the same scan, e.g., an intraoral scan, of the subject's dentition. In some examples normals of the 3D mesh model may be compared to a normals map derived from the 2D image(s). Alternatively or additionally, these methods and apparatuses may be configured to compare a depth map generated from a 2D image to improve the 3D digital mesh model.

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: A multimodal scanning system may include a scanning wand. The wand may include a probe, a 3D surface scanner configured generate 3D surface data of the intraoral structure, and an OCT scanning system configured generate volumetric scan data. The system may also include a processor and memory comprising instructions that when executed cause the system to perform a method including generating 3D surface scan data of an intraoral structure, generating volumetric scan data of the internal structure with the OCT scanning system, determining a location and orientation of the intraoral scanning wand based on the 3D surface data, generating a three-dimensional volumetric model of a dentition based on the volumetric scan data and the 3D surface scan data, and generating a dental treatment plan based on a three-dimensional volumetric model of the dentition.

Abstract: An intraoral scanner system includes a probe, un-patterned light sources, fluorescence-inducing light sources and near infrared (NIR) light sources couple to the probe. The system includes cameras coupled to the probe. The system including one or more processing devices configured to control an operation of the un-patterned light sources, the fluorescence-inducing light sources and the NIR light sources. The one or more processing devices are configured to alternately illuminate the dental site using different light sources among the un-patterned light sources, the fluorescence-inducing light sources, and the near infrared (NIR) light sources to generate a first image corresponding to the dental site and a second image corresponding to the dental site. The one or more processing devices are further configured to generate, using the first image and the second image, a composite image that reduces a loss of image contrast from returning light from the dental site.

Abstract: Methods and apparatuses for generating and displaying a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth). These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth.

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: Methods and apparatuses for generating and displaying a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth). These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth.

Abstract: A method of multimodal scanning may include generating surface scan data of an intraoral structured using structured light. The method may include generating volumetric scan data of an internal structure of the intraoral structure with OCT scanning. The OCT scan data may be aligned with the surface scan data. A three-dimensional volumetric model of the patient's dentition may be generated based on the aligned OCT scan data and the surface scan data.

Abstract: Methods and apparatuses (e.g., systems) for assessing oral health. In some examples, one or more periodontal pockets in a 3D model of a dental arch may be identified. The digital 3D model may be generated from scan data collected from an oral scan, where the scan data may include 3D surface data and one or more of: color image data, near-infrared (NIR) data, and fluorescence imaging data. A periodontal pocket depth may be determined for each periodontal pocket using a trained machine learning model, which may be trained on image data including previous 3D surface data and one or more of: previous color image data, previous NIR data, and previous fluorescence imaging data. An indicator of the determined periodontal pocket depth may be displayed on one or more 2D images and/or the digital 3D model of the subject's dental arch.

Abstract: Described herein are intraoral scanning apparatuses comprising visible light and near-infrared (near-IR) light images from a patient's dentition. These apparatuses may display a 3D model of the patient's dental arch and a plurality of images of the patient's dental arch taken from different angles and positions relative to the patient's dental arch, and may both generate and display a two-dimensional (2D) image based on a relative angle and position between the indicator relative to the 3D model of the patient's dental arch.

Abstract: A method comprises registering a current color-image scan to a current three-dimensional scan, registering the earlier color-image scan to an earlier three-dimensional scan, and correlating a current three-dimensional scan and the earlier three-dimensional scan to each other, such that a given area A of the current three-dimensional scan correlates to a corresponding area A? of the earlier three-dimensional scan. Based on the correlation of the current three-dimensional scan and the earlier three-dimensional scan, the registration of the current color-image scan to the current three-dimensional scan, and the registration of the earlier color-image scan to the earlier three-dimensional scan, for the given area A of the current three-dimensional scan, the method applies (i) a portion of the earlier color-image scan registered to corresponding area A? of the earlier three-dimensional scan to (ii) the given area A of the current three-dimensional scan.

Abstract: Methods and apparatuses for generating and displaying a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth). These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth.