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Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91116, first published .
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A Competency Framework for Medical AI Education: Mixed Methods Study

A Competency Framework for Medical AI Education: Mixed Methods Study

Chang Cai   1, 2 , MAS ;   Gaoxia Zhu   3 , PhD ;   Shang-Ming Zhou   4 , PhD ;   Olivia Ng   1, 2 , PhD ;   Jamie Duell   5, 6 , PhD ;   Weng Kin Ho   3 , PhD ;   Daisy Minghui Chen   1 , MAS ;   Bernett Lee   1, 7, 8 , PhD ;   Fang Li   9 , PhD ;   Siyuan Liu   9 , PhD ;   Vidya Sudarshan   9 , PhD ;   Li Rong Wang   9, 10 , BSc ;   Chanwoo Choi   9 , MAS ;   Xiuiyi Fan   1, 2, 9, 11 , PhD

1 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

2 National Health Group, Singapore, Singapore

3 National Institute of Education, Nanyang Technological University, Singapore, Singapore

4 Center for Health Technology, Faculty of Health, University of Plymouth, Plymouth, United Kingdom

5 School of Computing and Digital Technologies, Sheffield Hallam University, Sheffield, United Kingdom

6 Centre of Excellence in AI and Robotics, Sheffield Hallam University, Sheffield, United Kingdom

7 Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

8 Infectious Disease Labs (ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

9 College of Computing and Data Science, Nanyang Technological University, Singapore, Singapore

10 Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

11 Centre of AI in Medicine, Nanyang Technological University, Singapore, Singapore

Corresponding Author:

  • Xiuiyi Fan, PhD
  • Lee Kong Chian School of Medicine, Nanyang Technological University
  • 50 Nanyang Avenue
  • Singapore
  • Singapore
  • Phone: 65 82634539
  • Email: xyfan@ntu.edu.sg