Integrated dental restoration design process and system

1 . A computer-implemented method of providing a 3D digital dental restoration, the method comprising:

receiving a 3D digital dental model representing at least a portion of a patient's dentition;

automatically determining a virtual dental preparation site in the 3D digital dental model using a first neural network;

automatically generating a 3D digital dental prosthesis model in the 3D digital dental model using a second trained generative deep neural network; and

automatically routing the 3D digital dental model comprising the 3D digital dental prosthesis model to a quality control (“QC”) user,

wherein the first neural network comprises a preparation site trained neural network and the second trained generative deep neural network comprises a 3D digital dental prosthesis generation neural network;

wherein responsive to the QC user making significant adjustments to the 3D digital dental prosthesis model, adding a modified 3D digital dental prosthesis model to an improved training data set for the second trained generative deep neural network.

2 . The method of claim 1 , further comprising displaying the generated 3D digital dental prosthesis model in a QC process to provide Graphical User Interface (“GUI”) controls to adjust the 3D digital dental prostheses model as part of a QC process.

3 . The method of claim 2 , wherein the QC process allows the QC user to adjust one or more contact points.

4 . The method of claim 2 , wherein the QC process allows the QC user to adjust the shape or contour of the 3D digital dental prosthesis as part of the QC process.

5 . The method of claim 2 , wherein the QC process displays at least a portion of the 3D digital dental model and an automatically determined margin line proposal and the one or more control features allow the QC user to modify the determined margin line as part of the QC process.

6 . The method of claim 1 , wherein responsive to the QC user making fundamental adjustments to the 3D digital dental prosthesis model, automatically regenerating the 3D digital dental prosthesis model.

7 . The method of claim 1 , further comprising retraining the 3D digital dental prosthesis generation trained neural network using a training data set comprising one or more 3D digital dental prosthesis models from the improved training data set.

8 . A non-transitory computer readable medium storing executable computer program instructions to provide a 3D digital dental restoration, the computer program instructions comprising instructions for:

receiving a 3D digital dental model representing at least a portion of a patient's dentition;

automatically determining a virtual dental preparation site in the 3D digital dental model using a first trained neural network;

automatically generating a 3D digital dental prosthesis model in the 3D digital dental model using a second trained generative deep neural network; and

automatically routing the 3D digital dental model comprising the 3D digital dental prosthesis model to a quality control (“QC”) user,

wherein the first neural network comprises a preparation site trained neural network and the second trained generative deep neural network comprises a 3D digital dental prosthesis generation neural network;

where responsive to the QC user making significant adjustments to the 3D digital dental prosthesis model, adding a modified 3D digital dental prosthesis model to an improved training data set for the second trained generative deep neural network.

9 . The medium of claim 8 , further comprising displaying the generated 3D digital dental prosthesis model in a QC process to provide Graphical User Interface (“GUI”) controls to adjust the 3D digital dental prostheses model as part of a QC process.

10 . The medium of claim 9 , wherein the QC process allows the QC user to adjust one or more contact points.

11 . The medium of claim 9 , wherein the QC process allows the QC user to adjust the shape or contour of the 3D digital dental prosthesis as part of the QC process.

12 . The medium of claim 9 , wherein the QC process displays at least a portion of the 3D digital dental model and an automatically determined margin line proposal and the one or more control features allow the QC user to modify the determined margin line as part of the QC process.

13 . The medium of claim 8 , wherein responsive to the QC user making fundamental adjustments to the 3D digital dental prosthesis model, automatically regenerating the 3D digital dental prosthesis model.

14 . A system for providing a digital dental restoration, the system comprising:

a processor; and

a non-transitory computer-readable storage medium comprising instructions executable by the processor to perform steps comprising:

receiving a 3D digital dental model representing at least a portion of a patient's dentition;

automatically determining a virtual dental preparation site in the 3D digital dental model using a first trained neural network;

automatically generating a 3D digital dental prosthesis model in the 3D digital dental model using a second trained generative deep neural network; and

automatically routing the 3D digital dental model comprising the 3D digital dental prosthesis model to a quality control (“QC”) user,

wherein the first neural network comprises a preparation site trained neural network and the second trained generative deep neural network comprises a 3D digital dental prosthesis generation neural network;

wherein responsive to the QC user making significant adjustments to the 3D digital dental prosthesis model, adding a modified 3D digital dental prosthesis model to an improved training data set for the second trained generative deep neural network.

15 . The system of claim 14 , wherein responsive to the QC user making fundamental adjustments to the 3D digital dental prosthesis model, automatically regenerating the 3D digital dental prosthesis model.