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

Reviews in AI (27) Ethical, Legal, and Social Issues in AI (111)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51834, first published .
Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study

Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study

Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study

Authors of this article:

Majdi Quttainah1 Author Orcid Image ;   Vinaytosh Mishra2 Author Orcid Image ;   Somayya Madakam3 Author Orcid Image ;   Yotam Lurie4 Author Orcid Image ;   Shlomo Mark5 Author Orcid Image
Article Authors Cited by (19) Tweetations (2) Metrics

Journals

  1. Kim S, Kang J, Yoon Y. AFTEA Framework for Supporting Dynamic Autonomous Driving Situation. Electronics 2024;13(17):3535 View
  2. Miao J, Thongprayoon C, Craici I, Cheungpasitporn W. How to incorporate generative artificial intelligence in nephrology fellowship education. Journal of Nephrology 2024;37(9):2491 View
  3. Bozkurt Uzan Ş. From Past to Present: Philosophical Reflections on AI with a SWOT Approach. Felsefe Dünyası 2024;(80):138 View
  4. Colangelo M, Guizzardi S, Meleti M, Calciolari E, Galli C. How to Write Effective Prompts for Screening Biomedical Literature Using Large Language Models. BioMedInformatics 2025;5(1):15 View
  5. Cevik A, Abu-Zidan F. Utilizing AI-Powered Thematic Analysis: Methodology, Implementation, and Lessons Learned. Cureus 2025 View
  6. Ning Y, Ong J, Cheng H, Wang H, Ting D, Tham Y, Wong T, Liu N. How can artificial intelligence transform the training of medical students and physicians?. The Lancet Digital Health 2025;7(10):100900 View
  7. Veisi O, Bahrami S, Englert R, Müller C. AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How. Proceedings of the ACM on Human-Computer Interaction 2025;9(7):1 View
  8. Wang S, Zhao F, Bu D, Lu Y, Gong M, Liu H, Yang Z, Zeng X, Yuan Z, Wan B, Sun J, Wu Y, Zhao L, Wan X, Huang W, Wang T, Xu M, Luo J, Liu J, Zheng J, Zhang W, Zhang K, Zhang H, Wang S, Chen R, Zhao Y. LINS: A general medical Q&A framework for enhancing the quality and credibility of LLM-generated responses. Nature Communications 2025;16(1) View
  9. Roeschl T, Hoffmann M, Hashemi D, Rarreck F, Hinrichs N, Trippel T, Gröschel M, Unbehaun A, Klein C, Kempfert J, Dreger H, O'Brien B, Hindricks G, Balzer F, Falk V, Meyer A. Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study. JMIRx Med 2025;6:e74899 View
  10. Qiao Y, Tran P, Yoon J, Nguyen L, Huh E, Niyato D, Hong C. DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey. ACM Computing Surveys 2026;58(7):1 View
  11. Shaban S, Magzoub M. Artificial Intelligence in Medical Education and Assessment: The next step in the IT Revolution. F1000Research 2025;14:1360 View
  12. Ren Y, Wang Y, Dong S, Su W, Wu Y, Liang S, Yang X. Application of Artificial Intelligence in Medical Education: A Systematic and Narrative Review of Pedagogical Potential and Ethical Implications. Advances in Medical Education and Practice 2026;Volume 17:1 View
  13. Martinho D, Sobreiro P, Domingues A, Martinho F, Nogueira N. Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model. Healthcare 2026;14(3):287 View
  14. Esmaeilzadeh P. Patient safety and quality implications of large language model use in healthcare: a risk-stratified assessment of artificial intelligence-assisted medical consultations. International Journal for Quality in Health Care 2026;38(1) View
  15. Çatmabacak E, Eren A, Çetinkaya Valandova İ. Mapping the Scientific Landscape of Artificial Intelligence in Endodontics: A Bibliometric Analysis. International Endodontic Journal 2026 View

Books/Policy Documents

  1. Armfield D, Chen E, Omonkulov A, Tang X, Lin J, Thiessen E, Koedinger K. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED. View
  2. Kumar A, Sood M. Proceedings of International Conference on Recent Innovations in Computing. View

Conference Proceedings

  1. Khan M, Ford C, Dong Y, Afsarimanesh N. 2024 IEEE Frontiers in Education Conference (FIE). WIP: Impact of Generative AI on Learning: Foci and Parameters for an Assessment Tool View
  2. Chen Y, Albarqawi A, Chen C. 2025 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). Enhancing Clinical Decision-Making: Integrating Multi-Agent Systems with Ethical AI Governance View