Diagnosis of In Vivo Vertical Root Fracture in Endodontically Treated Teeth Using Machine Learning Techniques.

Journal: Journal of endodontics
Published Date:

Abstract

INTRODUCTION: This study aimed to diagnose vertical root fracture (VRF) of endodontically treated teeth using clinical features and bone loss information from cone beam computed tomography with machine learning models.

Authors

  • Shujun Ran
    Department of Endodontics and Operative Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology, Shanghai, China.
  • Qiang Wang
    Ningbo Konfoong Bioinformation Tech Co., Ltd, Ningbo, China.
  • Jia Wang
    Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, Jilin, China.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Wei Zhou
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Pengfei Zhang
    Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese National Health Commission, Department of Cardiology, Qilu Hospital of Shandong University. N0.107 Wenhuaxi Road, Jinan, Shanodng Province, China. Electronic address: pengf-zhang@163.com.
  • Keyong Yuan
    Department of Endodontics and Operative Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology, Shanghai, China.
  • Yushan Cheng
    Department of Endodontics and Operative Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology, Shanghai, China.
  • Shensheng Gu
    Department of Endodontics and Operative Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology, Shanghai, China.
  • Jingjing Zhu
    Department of Obstetrics and Gynecology of the First Affiliated Hospital, Sun Yat-sen University.
  • Zhengwei Huang
    College of Information Science and Technology, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, China.

Keywords

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