The potential of artificial intelligence reading label system on the training of ophthalmologists in retinal diseases, a multicenter bimodal multi-disease study.

Journal: BMC medical education
PMID:

Abstract

OBJECTIVE: To assess the potential of artificial intelligence reading label system on the training of ophthalmologists in a multicenter bimodal multi-disease study.

Authors

  • Meng Wang
    State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150001, China.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Donghui Li
    The Arabidopsis Information Resource, Phoenix Bioinformatics, Newark, California, United States of America.
  • Qijie Wei
    Vistel AI Lab, Visionary Intelligence Ltd., Beijing, China.
  • Jianchun Zhao
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Xiang Gao
    Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
  • Tianhui Shan
    Eye Hospital of Shandong First Medical University, Jinan, Shandong, China.
  • Hao Feng
    Value Pharmaceutical Services Co. Ltd, Nanjing, Jiangsu, China.
  • Guolong Ding
    Department of Ophthalmology, Xi'an No. 1 hospital, Xi'an, China.
  • Chan Li
    PMI Lab, School of Physics, Sun Yat-sen University, Guangzhou 510275, People's Republic of China.
  • Binghui Wu
    School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China. Electronic address: bhwu@zjut.edu.cn.
  • Xirong Li
    Key Lab of DEKE, Renmin University of China, Beijing, China.
  • Chan Wu
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Weihong Yu
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China yuweihongpumch@163.com.