Efficacy of a deep learning system for automatic analysis of the comprehensive spatial relationship between the mandibular third molar and inferior alveolar canal on panoramic radiographs.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
PMID: 39915134

Abstract

OBJECTIVE: To develop and evaluate a deep learning (DL) system for predicting the contact and relative position relationships between the mandibular third molar (M3) and inferior alveolar canal (IAC) using panoramic radiographs (PRs) for preoperative assessment of patients for M3 surgery.

Authors

  • Yi Jiang
    Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, China.
  • Hai-Tao Sun
    Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Zhengchao Luo
    Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing 100871, China.
  • Jinzhuo Wang
    Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China.
  • Rui-Ping Xiao
    College of Future Technology, Peking University, Beijing, China. Electronic address: xiaor@pku.edu.cn.

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