A system and methods are used to provide patients access to in-home healthcare, for example, using a device in conjunction with a mobile device. The system and methods described herein are used for tooth whitening applications, general dental or medical checkups, detecting disease, updating dental or medical records, and automatic ordering of prescription and non-prescription products.

The present disclosure provides methods, computing device readable medium, devices, and systems that utilize a cheek retractor and/or a mobile device holder for case assessment and/or dental treatments. One cheek retractor includes a first and a second lip holder, both including imaging markers of a predetermined size to determine a scale of teeth of a user, where each imaging marker is located a predefined distance from the remaining imaging markers, and where the lip holder is to hold a cheek away from a mouth of a user to expose teeth of the user. A mobile device holder can include elements to receive a mobile device to capture images of the patient's teeth.

An oral cavity scanning device is provided in the invention. The oral cavity scanning device includes an image capturing unit, an IMU circuit and a processing unit. The image capturing unit obtains a first image and a second image. The IMU circuit obtains IMU information corresponding to the first image and the second image. The processing unit obtains a distance value between the first image and the second image. The processing unit uses a contour algorithm to obtain a first contour and a second contour. The processing unit obtains first sampling points according to the first contour and second sampling points according to the second contour. The processing unit uses a feature algorithm to find relative feature points between the first sampling points and the second sampling points. The processing unit uses a depth information algorithm to obtain the depth information of each feature point.

Described herein are methods and apparatuses to obtain an image, or a set of images, of a patient's teeth from one or more predetermined viewing angles. These methods and apparatuses may include the use an overlay comprising an outline of teeth for each predetermined viewing angle. The overlay may be used for automatically capturing, focusing and/or illuminating the teeth. Also described herein are methods and apparatuses for using a series of images of the patient's teeth including a set of predetermined views to determine if a patient is a candidate for an orthopedic procedure.

The present invention relates to an apparatus and a method of acquiring an image for dental diagnosis. More particularly, the present invention relates to an apparatus and a method of acquiring a near-infrared image for dental diagnosis, wherein an image for dental diagnosis is acquired using near-infrared radiation and a general image camera rather than using X-rays.

A method for monitoring the positioning of the teeth including production of a three-dimensional digital initial reference model of the arches of the patient and, for each tooth, definition, from the initial reference model, of a three-dimensional digital reference tooth model; acquisition of updated image of at least one two-dimensional image of the arches in actual acquisition conditions; analysis of each updated image and production, for each updated image, of an updated map; optionally, determination, for each updated image, of rough virtual acquisition conditions approximating the actual acquisition conditions; searching, for each updated image, for a final reference model corresponding to the positioning of the teeth during the acquisition of the updated image, for each tooth model, comparison of the positionings of the tooth model in the initial reference model and in the reference model obtained at the end of the preceding steps to determine the movement of the teeth

A method for detecting demineralization of a tooth substance, including the steps of irradiating (S101) a structured light pattern onto the tooth substance; detecting (S102) a light intensity of the light pattern remitted from the volume of the tooth substance; and determining (S103) demineralization of the tooth substance based on the detected light intensity.

An automated method and system for determining the risk of developing a cancer in a subject, the method comprising preparing a tissue sample obtained from the subject for visually identifying at least one biological marker associated with the cancer, digitally scanning the prepared tissue sample, analyzing the scanned image of the tissue sample to identify regions of interest, quantifying at least one parameter associated with the marker, and executing an algorithm using the quantified parameter to calculate a risk score, wherein the risk score is representative of the risk of the individual developing the cancer.

A method for predicting at least one of a tooth crown or implant feature, said method comprising the steps of: receiving at least one of a volumetric or surface scan image, wherein the volumetric image is a three-dimensional voxel array of a maxillofacial anatomy of a patient and the surface scan image is a polygonal mesh of a maxillofacial anatomy of the patient; segmenting at least one of the volumetric image or surface scan image into a set of distinct anatomical structures by assigning each voxel an identifier by structure and assigning at least one of a vertices, face, or points on the mesh an identifier by structure for the volumetric image and surface scan image, respectively, wherein the distinct anatomical structures include at least one of a tooth, jaw, mandibular canal, maxillary sinus, fossae, and a missing tooth; and predicting at least one of a tooth crown or implant feature in place of the segmented missing tooth, wherein the predicted crown and/or implant feature is at least one of generated or selected from a library.

An intraoral scanner generates 2D images of a dental site and 3D intraoral scans of the dental site. The computing device receives the 2D images of the dental site and the 3D intraoral scans of the dental site from the intraoral scanner, generates a 3D model of the dental site based on the 3D intraoral scans of the dental site, and processes at least one of a) one or more of the 2D images of the dental site, b) one or more of the 3D intraoral scans of the dental site, or c) data from the 3D model of the dental site to identify one or more intraoral areas of interest (AOIs) at the dental site. The computing device determines a dental condition associated with the one or more intraoral AOIs, and determines a manner for scanning the one or more intraoral AOIs.