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

Reviews in AI (19) Ethical, Legal, and Social Issues in AI (91)

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 (7) 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

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

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