What question did this study set out to answer?

To develop a deep learning model for diagnosing lesions associated with impacted third molars.

March 4, 2026International Dental Journal0 citationsOpen Access

A Deep Learning Model for Second-Molar Lesions Related to Impacted Third Molars

YJYujia JiangNanjing Medical University JJJiayi JinNanjing Medical University YGY. GaoChinese Academy of Sciences

Key Points

To develop a deep learning model for diagnosing lesions associated with impacted third molars.
Developed a deep learning-based diagnostic tool.
Tested the tool in clinical settings.
Evaluated the model's performance against standard diagnostic practices.
The model demonstrated high accuracy in diagnosing second-molar lesions.
It served as an effective decision-support system, especially in limited resource environments.

Abstract

This DL-based diagnostic tool may serve as a valuable decision-support system, particularly in clinical settings with limited access to specialized dental expertise.

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