Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55368, first published .
Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education

Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education

Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education

Authors of this article:

Lukas Weidener1 Author Orcid Image ;   Michael Fischer1 Author Orcid Image

Journals

  1. Alnaimat F, Al-Halaseh S, AlSamhori A. Evolution of Research Reporting Standards: Adapting to the Influence of Artificial Intelligence, Statistics Software, and Writing Tools. Journal of Korean Medical Science 2024;39(32) View
  2. Misra S, Suresh S. Artificial Intelligence and Objective Structured Clinical Examinations: Using ChatGPT to Revolutionize Clinical Skills Assessment in Medical Education. Journal of Medical Education and Curricular Development 2024;11 View
  3. Altintas L, Sahiner M. Transforming medical education: the impact of innovations in technology and medical devices. Expert Review of Medical Devices 2024;21(9):797 View
  4. Akbarilakeh M. Response to: "Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158". Medical Teacher 2025;47(5):908 View
  5. Nankya M, Mugisa A, Usman Y, Upadhyay A, Chataut R. Security and Privacy in E-Health Systems: A Review of AI and Machine Learning Techniques. IEEE Access 2024;12:148796 View
  6. Eriçok B, Karataş F, Yüce E. Öğretmen adaylarının yapay zekaya (YZ) ilişkin metafor algıları. Kocaeli Üniversitesi Eğitim Dergisi 2024;7(2):607 View
  7. Yue M, Jong M, Dai Y, Lau W. Students as AI literate designers: a pedagogical framework for learning and teaching AI literacy in elementary education. Journal of Research on Technology in Education 2025:1 View
  8. Esmaili A, Rahmani A, Alijanpour A, Jayervand F, Akhondzardaini R, Sharifi M, Shams S, Rashvandi H, Yeganegi M, Shahbazi A, Aghili K, Neamatzadeh H. Challenges for Ethics Review Committees in Regulating Medical Artificial Intelligence Research. Indian Journal of Surgical Oncology 2025 View
  9. Lee I, Lee Y. Development of a Medical AI Ethics Education Module Reflecting AI Competency Framework for Medical Students. Korean Medical Education Review 2025;27(1):17 View
  10. Almansour M, Soliman M, Aldekhyyel R, Binkheder S, Temsah M, Malki K. An Academic Viewpoint (2025) on the Integration of Generative Artificial Intelligence in Medical Education: Transforming Learning and Practices. Cureus 2025 View
  11. Basem J, Mani R, Sun S, Gilotra K, Dianati-Maleki N, Dashti R. Clinical applications of artificial intelligence and machine learning in neurocardiology: a comprehensive review. Frontiers in Cardiovascular Medicine 2025;12 View
  12. Onetiu F, Bratu M, Folescu R, Bratosin F, Bratu T. Assessing Medical Students’ Perceptions of AI-Integrated Telemedicine: A Cross-Sectional Study in Romania. Healthcare 2025;13(9):990 View
  13. Duan S, Liu C, Rong T, Zhao Y, Liu B. Integrating AI in medical education: a comprehensive study of medical students’ attitudes, concerns, and behavioral intentions. BMC Medical Education 2025;25(1) View

Books/Policy Documents

  1. Yadav M, Singh S, Sharma P, Hung T. Impacts of Generative AI on the Future of Research and Education. View

Conference Proceedings

  1. Miranda J, Bansil J, Fernando E, Gamboa A, Hernandez H, Cruz M, Dianelo R, Gonzales D, Penecilla E. 2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA). Prevalence, Devices Used, Reasons for Use, Trust, Barriers, and Challenges in Utilizing Generative AI among Tertiary Students View