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...

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Bibliographic Details

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:	Extraction difficulty Deep learning Orthopantomographys Post-extraction complications Third molar
Online Access:	https://doi.org/10.1038/s41598-025-00236-7