Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar

Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar

Background: Preoperative assessment of the impacted mandibular third molar (LM3) in a panoramic radiograph is important in surgical planning. The aim of this study was to develop and evaluate a computer-aided visualisation–based deep learning (DL) system using a panoramic radiograph to predict the d...

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Bibliographic Details
Main Authors: Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:International Dental Journal
Subjects:
Impacted tooth
Third molar
Panoramic radiograph
Artificial intelligence
Deep learning
Neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S002065392400193X
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