Patent classifications
G06T2207/30036
Deriving tooth condition information for populating digital dental charts
Disclosed are methods and digital tools for deriving tooth condition information for a patient's teeth, for populating a digital dental chart with derived tooth condition information, and for generating an electronic data record containing such information.
Tracked dental measurement device
A method of collecting dental measurements comprising: receiving optical measurement data of at least a portion of a subject's mouth; contacting a portion of a measuring device to portions of the subject's mouth to collect position measurement data, where the measuring device includes a tracker; and combining the optical measurement data and the position measurement data.
METHOD FOR ANALYSING A DENTAL SITUATION
A method for analyzing a real dental situation of a patient. The method includes steps, as follows, in succession. At an updated instant, acquisition of an updated image representing a real dental scene as observed by an operator. Determination of a virtual dental scene as a function of the representation of the real dental scene on the updated image. Presentation of the virtual dental scene in transparent mode and overlaid on the real dental scene, or display of the updated image on a screen and presentation of the virtual dental scene overlaid with the representation of the real dental scene on the updated image displayed on the screen, in transparent mode or not on the representation.
Three-Dimensional Dental Scanning System and Method of Scanning
A three-dimensional (3D) dental scanning system (1) for scanning a dental object (D) includes a scanning surface (124a) to support the dental object (D); a scanning section (130) to capture a 3D scan of the dental object (D); a motion section (120) to move the scanning surface (124a) and scanning section (130) relative to each other in five axes of motion, whilst retaining the scanning surface (124a) in a substantially horizontal plane, and a control unit (140) configured to control the motion section (120) and the scanning section (130) to obtain a 3D scan of the dental object (D).
CHEEK RETRACTOR AND MOBILE DEVICE HOLDER
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.
METHOD FOR ASSESSING ORAL HEALTH USING A MOBILE DEVICE
A method for remotely assessing oral health of a user of a mobile device by obtaining, using the mobile device (40), at least one digital image (1) of said user's (30) oral cavity (31) and additional non-image data (2) comprising anamnestic information about the user (30). The digital image (1) is processed both using a statistical object detection algorithm (20) to extract at least one local visual feature (3) corresponding to a medical finding related to a sub-region of said user's oral cavity (31); and also using a statistical image recognition algorithm (21) to extract at least one global classification label (4) corresponding to a medical finding related to said user's oral cavity (31) as a whole. An assessment (10) of the oral health of said user (30) is determined based on the local visual feature(s) (3), the global classification label(s) (4) and the non-image data (2).
Segmentation device
A learning model provided in a segmentation device is a learning model which is generated using training data such that segmentation data of a biologically important region is output when data of a constituent maxillofacial region is input.
APPARATUS AND METHOD FOR GENERATING VIRTUAL MODEL
The present disclosure relates to an apparatus and method for generating a virtual model. The apparatus according to the present disclosure comprises: a scanner that acquires a continuous 2D image within a measurement space; and a model generation unit for generating a three-dimensional virtual model by converting the image acquired from the scanner, wherein the model generation unit removes an area from the three-dimensional virtual model according to the reliability of data and generates a final model on the basis of the remaining area.
MACHINE LEARNING TECHNIQUES FOR GENERATING HISTORICALLY DYNAMIC EXPLANATION DATA OBJECTS
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for generating a historically dynamic explanation data object for a dental image data object. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform generating a historically dynamic explanation data object for a dental image data object using an encoder-decoder architecture, where the encoder machine learning framework of the encoder-decoder architecture comprises a current diagnosis identification machine learning model, a historical diagnosis identification machine learning model, a convolutional embedding machine learning model, a new diagnosis code inference machine learning model, and a feature vector combination machine learning model.
System and method for improved intra-oral scanning protocol and calibration
A method of providing an accurate three-dimensional scan of a dental arch area is disclosed. The arch area has two segments and a connecting area between the two segments. The connecting area has homogeneous features. A connecting-geometry tool with at least one definable feature is affixed to the arch area. The definable feature overlays at least part of the connecting area. The arch area is scanned to produce a scanned dataset of the arch area. The definable feature of the connecting-geometry tool on the connection area is determined based on the scanned dataset. The dimensions of the arch area are determined based on the data relating to the definable features from the scanned dataset.