Prediction of pink esthetic score using deep learning: A proof of concept.

Journal: Journal of dentistry
PMID:

Abstract

OBJECTIVES: This study aimed to develop a deep learning (DL) model for the predictive esthetic evaluation of single-implant treatments in the esthetic zone.

Authors

  • Ziang Wu
    Department of Prosthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai, China; National Center for Stomatology, Shanghai, China; National Clinical Research Center for Oral Diseases, Shanghai, China; Shanghai Key Laboratory of Stomatology, Shanghai, China; Shanghai Research Institute of Stomatology, Shanghai, China.
  • Yizhou Chen
    School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.
  • Xinbo Yu
    Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, People's Republic of China.
  • Feng Wang
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Haochen Shi
    Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Fang Qu
    Shanghai Aitrox Technology Corporation Limited, Shanghai, PR China.
  • Yingyi Shen
    Department of Prosthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai, China; National Center for Stomatology and National Clinical Research Center for Oral Diseases, Shanghai, China; Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, Shanghai, China; Shanghai Engineering Research Center of Advanced Dental Technology and Materials, Shanghai, China.
  • Xiaojun Chen
    Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
  • Chun Xu
    Xinjiang University of Finance and Economics, Urmqi 830011, China.