Abstract: The present invention relates to a computer-implemented method for customizing an initial restoration design (1) by a specific user, wherein the initial restoration design (1) is received; wherein a digital 3D model (2) of the dental situation of a patient is received.

Abstract: A parameter recommendation module is used to propose a recommendation for dental restoration material parameters. The recommendation takes into consideration final tooth color influencing factors such as underlying tooth stump color and color of restoration fastening material such that at least one output restoration characteristic value needed to achieve a final user-specific tooth color for at least one tooth layer of the restoration is proposed.

Abstract: Apparatuses, systems, and methods are provided for creating a digital model of a dental prosthesis. Information about the dental prosthesis to be modeled is received, and an initial model of the dental prosthesis is generated based on the received information. Information for modifying the initial model of the dental prosthesis is received. A modified model of the dental prosthesis is generated based on the information for modifying the initial model of the dental prosthesis. At least one of the information about the dental prosthesis and the information for modifying the initial model of the dental prosthesis is received by the computer system in the form of voice or text. Artificial intelligence can be used in at least one of the generation of the initial model of the dental prosthesis and the generation of the modified model of the dental prosthesis.

Abstract: Apparatuses, systems, and methods are provided for generating composite displays of oral areas. To generate the composite display, X-ray image data from an X-ray scan of an oral area of an individual and a three-dimensional model generated from a three-dimensional scan of the oral area of the individual are used. The X-ray image is correlated to a rendering generated from the three-dimensional model in the composite display such that structures in the X-ray image are matched to structures in the rendering.

Abstract: The disclosure relates to a method for improving digital dentistry including: providing a 3D digital impression of a craniofacial anatomy; the digital impression described in terms a plurality of cells, providing a database of a plurality of dental procedures and their corresponding criteria for allowing applicability; analyzing the cells with respect to the criteria; determining, in response to the analysis, which of the dental procedures the digital impression is usable for and which of the dental procedures the digital impression is not usable for.

Abstract: The present invention relates to a computer implemented method of overlapping a first digital 3D image (13) and a second digital 3D image (14) each showing the oral cavity, wherein the first digital 3D image (13) is obtained through optically scanning a surface of the oral cavity, and wherein the second digital 3D image (14) is obtained through X-ray imaging, magnetic resonance imaging, or acoustical imaging of the oral cavity. The method includes a first matching step (S100) and a second matching step (S200) following the first matching step (S100).

Abstract: A method and system to automate an administration and restoration generation process that includes forming a spline along a jaw, proposing potential interdental gaps, weighting the potential interdental gaps to obtain one or more delimiters, automatically proposing tooth number probabilities, and computing a best fit tooth number distribution to generate a patient specific restoration.

Abstract: An intelligent restoration proposal including using an input resource to segment a 3D jaw model to obtain a segmented missing or unhealthy teeth and omitting the segmented missing or unhealthy teeth from the 3D jaw model to obtain a modified 3D jaw model. The modified 3D jaw model is used as input to a restoration proposal module to propose an output restoration. The restoration proposal module is operated as a machine learning engine. The restoration proposal is trained using a database that includes healthy teeth.

Abstract: A parameter recommendation module is used to propose a recommendation for dental restoration material parameters. The recommendation takes into consideration final tooth color influencing factors such as underlying tooth stump color and color of restoration fastening material such that at least one output restoration characteristic value needed to achieve a final user-specific tooth color for at least one tooth layer of the restoration is proposed.

Abstract: A method and system to automate an administration and restoration generation process that includes forming a spline along a jaw, proposing potential interdental gaps, weighting the potential interdental gaps to obtain one or more delimiters, automatically proposing tooth number probabilities, and computing a best fit tooth number distribution to generate a patient specific restoration.