Predicting the risk of dental implant loss using deep learning.

Journal: Journal of clinical periodontology
Published Date: Jul 9, 2022

Abstract

AIM: To investigate the feasibility of predicting dental implant loss risk with deep learning (DL) based on preoperative cone-beam computed tomography.

Authors

  • Nannan Huang
    Department of Prosthodontics, Stomatological Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
  • Peng Liu
    Department of Clinical Pharmacy, Dazhou Central Hospital, Dazhou 635000, China.
  • Youlong Yan
    Department of Information Center, Stomatological Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
  • Ling Xu
    Department of Respiratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, YiShan Road, Shanghai, 200233, China. quanlingxu@163.com.
  • Yuanding Huang
    Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, People's Republic of China.
  • Gang Fu
    PubChem, National Center for Biotechnology Information, National Library of Medicine National Institutes of Health Department of Health and Human Services 8600 Rockville Pike, Bethesda, MD 20894, USA.
  • Yiqing Lan
    Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, People's Republic of China.
  • Sheng Yang
    Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
  • Jinlin Song
    Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, People's Republic of China.
  • Yuzhou Li
    Department of Prosthodontics, Stomatological Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

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