Intraoral scan and x-ray system
Assignee3Shape A/S
InventorsDaniella ALALOUF, Admir HUSEINI, Aleksandar CEBOV, Torkan GHOLAMALIZADEH, Daniel SCHOBER, Marko KURALT, Laura Montesdeoca FENOY, Christoph VANNAHME
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Assignee3Shape A/S
InventorsDaniella ALALOUF, Admir HUSEINI, Aleksandar CEBOV, Torkan GHOLAMALIZADEH, Daniel SCHOBER, Marko KURALT, Laura Montesdeoca FENOY, Christoph VANNAHME
Estimating the term…
A computer-implemented method includes obtaining first data representing a surface of a dental object and second data representing an internal volume of the object, wherein the first data is 3D surface data; obtaining first and second augmentation data indicating an estimated presence of first and second sets of dental conditions, respectively; obtaining a user input indicative of a desired inspection site of the object; determining a part of the first and second data corresponding to the desired inspection site; and rendering, in a GUI, first and second views including the part of the first and second data corresponding to the desired inspection site and rendering with a visual indication of at least a part of the first and second augmentation data corresponding to the desired inspection site, respectively.
A computer-implemented method comprising the steps of:
The method of claim 1, wherein the second data is one or more two-dimensional (2D) images of the dental object, and wherein the one or more 2D images are one or more 2D X-ray images.
A system comprising:
A computer-implemented method comprising the steps of:
The method according to claim 18, wherein automatically filling-in the dental chart of the dental object further comprises processing, by using one or more trained machine learning models, the first data, the first augmentation data, the second data, the second augmentation data, and/or the one or more audio files.
The method according to claim 19, wherein each of the one or more trained machine learning models is configured to generate an output comprising one or more treatment recommendations and/or one or more treatment plans for the dental object, and wherein the dental chart further comprises information about the dental object based on the output of each of the one or more trained machine learning models.
Dependencies are inferred from the claim text.