Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis.

Journal: BMC oral health
PMID: 38114946

Abstract

BACKGROUND: The development of deep learning (DL) algorithms for use in dentistry is an emerging trend. Periodontitis is one of the most prevalent oral diseases, which has a notable impact on the life quality of patients. Therefore, it is crucial to classify periodontitis accurately and efficiently. This systematic review aimed to identify the application of DL for the classification of periodontitis and assess the accuracy of this approach.

Authors

  • Xin Li
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Dan Zhao
    Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
  • Jinxuan Xie
    School of Public Health, National Institute for Data Science in Health and Medicine, Capital Medical University, Beijing, China.
  • Hao Wen
  • Chunhua Liu
  • Yajie Li
  • Wenbin Li
    Key Laboratory of the plateau of environmental damage control, Lanzhou General Hospital of Lanzhou Military Command, Lanzhou, China.
  • Songlin Wang
    Salivary Gland Disease Center and Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Beijing Laboratory of Oral Health and Beijing Stomatological Hospital, Capital Medical University, Beijing, 100050, China. slwang@ccmu.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals