CPC A61C 9/0053 (2013.01) [A61B 5/0088 (2013.01); A61B 5/7264 (2013.01); A61C 7/002 (2013.01); A61C 13/20 (2013.01); A61C 13/34 (2013.01)] | 20 Claims |
1. A method, comprising:
acquiring, in one or more computing devices, a digital model of a patient's teeth;
extracting, with the one or more computing devices, raw features of the patient's teeth from the digital model of the patient's teeth;
creating, in the one or more computing devices, engineered features from the raw features of the patient's teeth;
applying the raw features and/or the engineered features to a trained classifier of the one or more computing devices, wherein the trained classifier generates a post-treatment tooth position score indicating how likely a post-treatment tooth position is to be accepted or rejected by a doctor; and
outputting from the one or more computing devices the post-treatment tooth position score.
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