Deep learning for the early identification of periodontitis: a retrospective, multicentre study.

Journal: Clinical radiology
PMID:

Abstract

AIM: To develop a deep-learning model to help general dental practitioners diagnose periodontitis accurately and at an early stage.

Authors

  • Q Liu
    Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • F Dai
    Center of Stomatology, The Second Affiliated Hospital of Nanchang University, Nanchang, China; The Institute of Periodontal Disease, Nanchang University, Nanchang, China.
  • H Zhu
    4 Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
  • H Yang
    Department of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
  • Y Huang
    Research Information Solutions and Innovations , Columbus, OH.
  • L Jiang
    Department of Stomatology, The Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
  • X Tang
    College of Basic Medical Science, Nanchang University, Nanchang, China.
  • L Deng
    The Institute of Periodontal Disease, Nanchang University, Nanchang, China; School of Public Health, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China. Electronic address: denglb1937@163.com.
  • L Song
    State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China.