Artificial Intelligence-based online platform assists blood cell morphology learning: A mixed-methods sequential explanatory designed research.

Journal: Medical teacher
Published Date:

Abstract

BACKGROUND: The study aimed to evaluate the effectiveness of learning blood cell morphology by learning on our Artificial intelligence (AI)-based online platform.

Authors

  • Junxun Li
    Department of Laboratory Science, First Affiliated Hospital of Sun Yatsen University, Guangzhou, China.
  • Juan Ouyang
    Department of Laboratory Science, First Affiliated Hospital of Sun Yatsen University, Guangzhou, China.
  • Juan Liu
    Key State Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan 430072, PR China. Electronic address: liujuan@whu.edu.cn.
  • Fan Zhang
    Department of Anesthesiology, Bishan Hospital of Chongqing Medical University, Chongqing, China.
  • Zhigang Wang
    Institute for Medical Science and Technology, University of Dundee, Dundee DD2 1FD, UK.
  • Xin Guo
    Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong.
  • Min Liu
    Department of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
  • David Taylor
    Gulf Medical University, Ajman, United Arab Emirates.