Objective: This systematic review aims to summarize the evidence on the use and
applicability of AI in impacted mandibular third molars. Methods: Searches were performed …

Background/Objective: This study aimed to develop an AI-supported clinical tool to evaluate
the difficulty of mandibular third molar extractions based on panoramic radiographs …

To improve the accuracy of rail fastener detection and deploy deep learning models on
mobile platforms for fast real-time inference, this paper proposes a defect detection model …

Impacted teeth with a high prevalence rate pose a significant challenge in dental diagnosis
and treatment planning. Traditional methods heavily rely on manual assessment, which can …