Molar trimming prediction and validation using machine learning
US11654001B2 · kind B2 · utility
12Cited by
110References
18Claims
0Family size
Assignee
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Key dates
| Filing date | Oct 4, 2019 |
| Grant date | May 23, 2023 |
| Priority date | — |
| Expiry date | Apr 26, 2041 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61C7/002
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.