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This paper is in the following e-collection/theme issue:

Models and Frameworks in Medical Education (128) Theoretical Frameworks and Concepts (594) User Needs and Competencies (604) Artificial Intelligence (5051) Registered Report (1586) Artificial Intelligence (AI) in Medical Education (871)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91116, first published .
Doctors use futuristic holographic display to analyze patient's 3D body scan.

A Competency Framework for Medical AI Education: Mixed Methods Study

A Competency Framework for Medical AI Education: Mixed Methods Study

Authors of this article:

Chang Cai1, 2 Author Orcid Image ;   Gaoxia Zhu3 Author Orcid Image ;   Shang-Ming Zhou4 Author Orcid Image ;   Olivia Ng1, 2 Author Orcid Image ;   Jamie Duell5, 6 Author Orcid Image ;   Weng Kin Ho3 Author Orcid Image ;   Daisy Minghui Chen1 Author Orcid Image ;   Bernett Lee1, 7, 8 Author Orcid Image ;   Fang Li9 Author Orcid Image ;   Siyuan Liu9 Author Orcid Image ;   Vidya Sudarshan9 Author Orcid Image ;   Li Rong Wang9, 10 Author Orcid Image ;   Chanwoo Choi9 Author Orcid Image ;   Xiuiyi Fan1, 2, 9, 11 Author Orcid Image
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Journals

  1. Rodrigues A, Martins T, Lopes B. Ethics Education for AI-Mediated Care: A Scoping Review of Curricula, Competencies, Assessment, and Clinical Transfer. Asian Journal of Ethics in Health and Medicine 2026;6(1):162 View
  2. Rodríguez Enríquez C. From enriched teaching to didactic-disciplinary-cultural symbiogenesis: a care-centered framework for health professions education in the age of artificial intelligence. Frontiers in Education 2026;11 View
  3. Simoni J, Pereira J, Crespo Sánchez S, Egaña-Yin D, García-Gargallo C, Hertog O, Idoate A, López-Ortiz L, Morales-Gutiérrez I, Romero A, Santiago-Martínez P, Sawczyn G, Vahamaki A, Urtubia-Fernandez J, Mengual E. What and when: a Delphi study identifying AI competencies and learning objectives for medical students. Frontiers in Digital Health 2026;8 View
  4. M Hjazi A. Preparing the Future Laboratory Workforce for Intelligent Diagnostics: The Artificial Intelligence Competency Framework for Laboratory Medicine Education (AILab-CF). Recent advances in Evolution of Education and Outreach 2026;3(1):31 View
  5. Wu Y, Ong A, Chen H, Yang G, Tham Y, Keane P, Wong T. The clinician–artificial intelligence scientist: a proposed career pathway in medicine. The Lancet Digital Health 2026:101077 View
  6. Baser O. Faster but Not Truer, Part 2: The Regulatory Record, the Economics, and the TRACE-HEOR Reporting Standard. Journal of Health Economics and Outcomes Research 2026;13(2) View
  7. Baser O. Faster but Not Truer, Part 2: The Regulatory Record, the Economics, and the TRACE-HEOR Reporting Standard. Journal of Health Economics and Outcomes Research 2026:161 View