Patent-family-84785246

A computer-implemented method for detecting tooth wear on a virtual 3D model (101) of a dental situation is disclosed. The method comprises receiving, by a processor, the virtual 3D model (101) of the dental situation. The method further comprises generating an input (301), from the virtual 3D model (101), for a trained neural network (300) for tooth wear detection, wherein the input (301) comprises at least one input element corresponding to at least a part of the virtual 3D model (101), the at least one input element comprising geometric information of the at least part of the virtual 3D model (101). The method further comprises providing the input (301) to the trained neural network (300) and obtaining an output (305) from the trained neural network (300) based on the provided input (301), wherein the output (305) comprises at least one probability value, wherein the at least one probability value represents a likelihood that the at least one input element corresponds to a tooth wear class. Further, the method comprises assigning the tooth wear class to the at least one input element and registering tooth wear on the at least part of the virtual 3D model (101) based on the assigned tooth wear class to the at least one input element. The at least part of the virtual 3D model (101) is displayed with the registered tooth wear.