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

Viewpoints and Perspectives (619) Ethics, Privacy, and Legal Issues (617) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) AI Language Models in Health Care (202) Generative Language Models Including ChatGPT (708) mHealth in Medical Education and Training (121) New Methods and Approaches in Medical Education (374)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60083, first published .
Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint

Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint

Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint

Authors of this article:

Li Zhui1 Author Orcid Image ;   Li Fenghe1 Author Orcid Image ;   Wang Xuehu1 Author Orcid Image ;   Fu Qining1 Author Orcid Image ;   Ren Wei1 Author Orcid Image
Article Authors Cited by (32) Tweetations Metrics

Journals

  1. Reuben J, Meiri H, Arien-Zakay H. AI’s pivotal impact on redefining stakeholder roles and their interactions in medical education and health care. Frontiers in Digital Health 2024;6 View
  2. Zong H, Wu R, Cha J, Wang J, Wu E, Li J, Zhou Y, Zhang C, Feng W, Shen B. Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis. Journal of Medical Internet Research 2024;26:e66114 View
  3. Belkhouribchia J. Artificial intelligence is going to transform the field of endocrinology: an overview. Frontiers in Endocrinology 2025;16 View
  4. Mondal H. Ethical engagement with artificial intelligence in medical education. Advances in Physiology Education 2025;49(1):163 View
  5. Kuerbanjiang W, Peng S, Jiamaliding Y, Yi Y. Performance Evaluation of Large Language Models in Cervical Cancer Management Based on a Standardized Questionnaire: Comparative Study. Journal of Medical Internet Research 2025;27:e63626 View
  6. 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
  7. Pahune S, Akhtar Z, Mandapati V, Siddique K. The Importance of AI Data Governance in Large Language Models. Big Data and Cognitive Computing 2025;9(6):147 View
  8. Maity S, Saikia M. Large Language Models in Healthcare and Medical Applications: A Review. Bioengineering 2025;12(6):631 View
  9. Kostrov S, Potapov M. Large language models in medicine: current ethical challenges. Медицинская этика 2025;(2025(2)) View
  10. Park C, An M, Hwang G, Park R, An J. Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study. JMIR Medical Informatics 2025;13:e68409 View
  11. Papagiannopoulos I, Koutalidis H, Rempi P, Ntanos C, Askounis D. Comparison of explainability methods for hallucination analysis in LLMs. Open Research Europe 2025;5:191 View
  12. Ouerghemmi C, Ertz M. Integrating Large Language Models into Digital Manufacturing: A Systematic Review and Research Agenda. Computers 2025;14(8):318 View
  13. Li H. AI Foundations in China’s Medical Physiology Education: Pedagogical Practices and Systemic Challenges. Advances in Medical Education and Practice 2025;Volume 16:1439 View
  14. Cherrez-Ojeda I, Frye B, Hoheisel A, Cortes-Telles A, Robles-Velasco K, Mateos-Toledo H, Figueiredo R, Ryerson C, Rodas-Valero G, Calderón J. Evaluation of large language model-generated medical information on idiopathic pulmonary fibrosis. Frontiers in Artificial Intelligence 2025;8 View
  15. Luo J, Cai X, Li Y. Large language models for biological sequence analysis in infectious disease research. Biosafety and Health 2025;7(5):323 View
  16. Al Zahrani E, Elsafi S, Al Musallam L, Alharbi A, Aldossari H, Alomar A, Alkharraz Z. Faculty perspectives on artificial intelligence’s adoption in the health sciences education: a multicentre survey. Frontiers in Medicine 2025;12 View
  17. 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
  18. Hou J, An F, Qin H, Zhang L, Wang J, Zhang C, Fan D. Application of DeepSeek-assisted problem-based learning in hematology residency training. BMC Medical Education 2025;25(1) View
  19. 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
  20. Rokhshad R, Tichy A, Ducret M, Chaurasia A, Uribe S, Gambelin O, Schwendicke F. The ethics and governance of large language models in dentistry: A framework for research and clinical implementation. Journal of Dentistry 2026;164:106187 View
  21. Miao Y, Zhao Y, Luo Y, Wang H, Wu Y. Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review. Journal of Medical Internet Research 2025;27:e80557 View
  22. Umer M, Nabeel M, Athar U, Lynch I, Afantitis A, Ullah S, Fraz M. Large Language Models Meet Molecules: A Systematic Review of Advances and Challenges in AI-Driven Cheminformatics. Archives of Computational Methods in Engineering 2025 View
  23. Liu Z, Yang B, Huang S. Exploring the Impact of Different Assistance Approaches on Students’ Performance in Engineering Lab Courses. Education Sciences 2025;15(11):1443 View
  24. Naser M. Auditing the Shadows: A Review of Methods to Detect Shared Training Data in Large Language Models. ACM Computing Surveys 2025 View
  25. Samiya R. Artificial Intelligence in Arabic language education: current applications, challenges, and future perspectives. STUDIES IN EDUCATION SCIENCES 2025;6(4):e21277 View
  26. Sokmen T, Kar İ, Tuncer C, Baloş Tuncer B. Comparison of the information of generative artificial intelligence large language models and professional guidelines regarding nutritional advice for orthodontic patients. BMC Oral Health 2025;25(1) View
  27. Jiang A, Ray T, Suri A, Menard A, Kellogg R, Chatterjee A, Koenig M, Esaki R, Hui F, Vargas J. Large language model responses to patient-oriented neurointerventional queries: A multirater assessment of accuracy, completeness, safety, and actionability. Interventional Neuroradiology 2025 View
  28. Leong Y, Nambiar L, Tay V, Lie S, Yuhe K. Feasibility of a Specialized Large Language Model for Postgraduate Medical Examination Preparation: Single-Center Proof-Of-Concept Study. JMIR Formative Research 2025;9:e77580 View
  29. Krishnadas R, Thilakan V. Navigating the new frontier: psychiatrist’s guide to using large language models in daily practice. BJPsych Advances 2025:1 View

Books/Policy Documents

  1. Upadhyaya A, Mishra M, Nandal S, Whig A, Whig P. AI-Enabled Sustainable Innovations in Education and Business. View
  2. Oliverio M, Balestrucci P, Anselma L, Mazzei A. Artificial Intelligence in Education. View

Conference Proceedings

  1. Triapthi Y, Saunkhla A, Sharma A. 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC). Ethics in AI: Integrating Ancient Indian Wisdom into Large Language Models View