Invention Grant
- Patent Title: Molar trimming prediction and validation using machine learning
-
Application No.: US16593690Application Date: 2019-10-04
-
Publication No.: US11654001B2Publication Date: 2023-05-23
- Inventor: Roman A. Roschin , Evgenii Vladimirovich Karnygin , Sergey Grebenkin , Dmitry Guskov , Dmitrii Ischeykin , Ivan Potapenko , Denis Durdin , Roman Gudchenko , Vasily Paraketsov , Mikhail Gorodilov , Alexey Vladykin , Roman Solovyev , Alexander Beliaev , Elizaveta Ulianenko , Leonid Trofimov , Anzhelika Son , Nikolay Zhirnov , Alexander Vovchenko
- Applicant: ALIGN TECHNOLOGY, INC.
- Applicant Address: US CA San Jose
- Assignee: Align Technology, Inc.
- Current Assignee: Align Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Shay Glenn LLP
- Main IPC: A61C9/00
- IPC: A61C9/00 ; A61C13/34

Abstract:
Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output probability that the 3D tooth model requires trimming. Trimming of the 3D tooth model can be implemented without human intervention.
Information query