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

Viewpoint and Opinions on Innovation in Medical Education (79) Artificial Intelligence (AI) in Medical Education (196) Ethics, Privacy, and Legal Issues (624) Artificial Intelligence (2180) Machine Learning (2115) Decision Support for Health Professionals (1560) Clinical Information and Decision Making (1950) e-Learning and Digital Medical Education (914)

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
Article Authors Cited by (39) Tweetations (2) Metrics

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
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  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;16(6):1384 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
  14. Thurzo A, Thurzo V. Embedding Fear in Medical AI: A Risk-Averse Framework for Safety and Ethics. AI 2025;6(5):101 View
  15. 蒋 玲. Empowering the BOPPPS Teaching Model with AI Technology: Theoretical Application and Case Exploration. Advances in Education 2025;15(05):1070 View
  16. Abuadas M, Albikawi Z, Rayani A. The impact of an AI-focused ethics education program on nursing students’ ethical awareness, moral sensitivity, attitudes, and generative AI adoption intention: a quasi-experimental study. BMC Nursing 2025;24(1) View
  17. Zheng L, Xiao Y. Refining AI perspectives: assessing the impact of ai curricular on medical students’ attitudes towards artificial intelligence. BMC Medical Education 2025;25(1) View
  18. Asıl S. YAPAY ZEKÂ ETİĞİ: TEMEL İLKELER, SORUNLAR VE DİSİPLİNLERARASI YAKLAŞIMLAR. İNİF E - Dergi 2025;10(1):152 View
  19. Faucher M, Sing E, Harris S, Hutson E, Hoelscher S. Artificial Intelligence and Competency‐Based Education: A Rapid Scoping Review. Journal of Midwifery & Women's Health 2025;70(6):865 View
  20. Souto M, Fernandes A, Silva A, de Freitas Ribeiro L, de Medeiros Fernandes T. A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations. Frontiers in Artificial Intelligence 2025;8 View
  21. Elzayyat M, Mohammad J, Zaqout S. Assessing LLM-generated vs. expert-created clinical anatomy MCQs: a student perception-based comparative study in medical education. Medical Education Online 2025;30(1) View
  22. Giacobello M. Informed consent and bioethical advances in clinical settings. Frontiers in Psychology 2025;16 View
  23. Esmaeilzadeh P. Ethical implications of using general-purpose LLMs in clinical settings: a comparative analysis of prompt engineering strategies and their impact on patient safety. BMC Medical Informatics and Decision Making 2025;25(1) View
  24. Khoury P, Oppenheimer J, Bunyavanich S, Ciaccio C, Portnoy J. Preparing Allergists to Practice in 2050 Using Artificial Intelligence. The Journal of Allergy and Clinical Immunology: In Practice 2025;13(11):2927 View
  25. Li X, Yan X, Lai H, Metwally A. The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review. PLOS One 2025;20(10):e0333411 View
  26. Chan S, Young H, Parekh R. Medical students' and faculty members' perceptions and experiences of AI integration in health care practice and in medical curricula: A meta‐ethnographic review. Medical Education 2025 View
  27. Simoni J, Urtubia-Fernandez J, Mengual E, Simoni D, Royo M, Egaña-Yin D, Hertog O, López-Ortiz L, Muñoz-Tomás A, Santiago-Martínez P, Vahamaki A, Pereira J. Artificial intelligence in undergraduate medical education: an updated scoping review. BMC Medical Education 2025;25(1) View
  28. Vengadesen S, Bin Abdul Aziz M, Jones M. Rethinking gene-edited crop regulation: advancing a Principle-based framework for modern biotechnology governance. GM Crops & Food 2025;16(1):852 View
  29. Kim D, Kang Y, Lee Y. Twelve tips for developing and implementing AI curriculum for undergraduate medical education. Medical Education Online 2025;30(1) View
  30. Duque Espinel J, García Casquete A, Batista Garcet Y. Uso de la inteligencia artificial en estrategias de repetición espaciada para la educación médica y el aprendizaje significativo: revisión sistemática.. Revista Española de Educación Médica 2025;6(6) View
  31. Ota Y, Asada Y, Kubo S, Kanno T, yagi M, Matsuyama Y. Evaluation of a Problem-Based Learning Program’s Effect on Artificial Intelligence Ethics among Japanese Medical Students: A Mixed-Methods Study (Preprint). JMIR Medical Education 2025 View
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Books/Policy Documents

  1. Yadav M, Singh S, Sharma P, Hung T. Impacts of Generative AI on the Future of Research and Education. View
  2. Tariciotti L, Zohdy Y, Riva M, Levi R, Pessina F, Pradilla G. Neurosurgery's Frontline Role in Gliomas Treatment. View
  3. Efthymiou E, Katsarou D, Sofologi M, Megari K, Papadopoulou S, Mantsos E, Argyriadis A, Argyriadi A. AI in Learning, Educational Leadership, and Special Education. View
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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