Automated diagnosis for extraction difficulty of maxillary and mandibular third molars and post-extraction complications using deep learning
Abstract Optimal surgical methods require accurate prediction of extraction difficulty and complications. Although various automated methods related to third molar (M3) extraction have been proposed, none fully predict both extraction difficulty and post-extraction complications. This study proposes...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | Junseok Lee, Jumi Park, Seongju Lee, Seong-Yong Moon, Kyoobin Lee |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00236-7 |
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