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Resource List

AMA citation style  |  Links verified March 2026  |  ⚠ = requires additional verification by submitter

Peer-Reviewed Journal Articles & Academic Research

  1. AlAli R, Wardat Y. Opportunities and challenges of integrating generative artificial intelligence in education. Int J Relig. 2024;5(11):654–665. doi:10.61707/8y29gv34
  2. Alowais SA, Alghamdi SS, Alsuhebany N, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23:689. doi:10.1186/s12909-023-04698-z
  3. Ardito G. Generative AI detection in higher education assessments. New Dir Teach Learn. 2024;2024(178):89–101. doi:10.1002/tl.20624
  4. Buch VH, Ahmed I, Maruthappu M. Artificial intelligence in medicine: current trends and future possibilities. Br J Gen Pract. 2018;68(668):143–144. doi:10.3399/bjgp18X695213
  5. Car J, Ong O, O’Sullivan M, et al. The digital health competencies in medical education framework. JAMA Netw Open. 2025;8(1):e2453131. doi:10.1001/jamanetworkopen.2024.53131
  6. ElHassan BT, Arabi AA. Ethical forethoughts on the use of artificial intelligence in medicine. Int J Osteopath Educ Sci. 2025;41(1):35–47.
  7. Glück J, König S, Naschenweng K, et al. How to measure wisdom: content, reliability, and validity of five measures. Front Psychol. 2013;4:405. doi:10.3389/fpsyg.2013.00405
  8. Gonsalves C. Addressing student non-compliance in AI use declarations: implications for academic integrity and assessment. Assess Eval High Educ. 2024. doi:10.1080/02602938.2024.2415654
  9. Hess BJ, Cupido N. Becoming adaptive experts in an era of rapid advances in generative artificial intelligence. Med Teach. 2024. doi:10.1080/0142159X.2023.2289844
  10. Ichikawa T, Heston TF, Crosby JR, et al. Generative artificial intelligence in medical education—policies and training at US osteopathic medical schools. JMIR Med Educ. 2025;11:e58766. doi:10.2196/58766
  11. Jin Y, Yan Z, Zhong Y, et al. Generative AI in higher education: a global perspective of institutional adoption policies and guidelines. Int J Educ Res. 2025;130:102434. doi:10.1016/j.ijer.2024.102434
  12. Joseph G, Rampersad F, Ramsarran J, et al. Current application and future prospects of artificial intelligence in healthcare and medical education. Cureus. 2025;17(1):e76464. doi:10.7759/cureus.76464
  13. Rao A, Kim J, Kamineni M, et al. Evaluating GPT as an adjunct for radiologic decision making: GPT-4 versus GPT-3.5 in a musculoskeletal setting. J Am Coll Radiol. 2023;20(9):909–916. doi:10.1016/j.jacr.2023.05.003
  14. Shah YB, Lehmann CU, Bhansali A, et al. Charting a path to the quintuple aim: harnessing AI to address social determinants of health. Integr Med Rep. 2024;21(6):718.
  15. Shiferaw KB, Mekonnen ZA, Geta M, et al. Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review. JAMIA Open. 2025;8(1):ooae155. doi:10.1093/jamiaopen/ooae155
  16. Ullah M, Bin Naeem S, Kamel Boulos MN. Assessing the guidelines on the use of generative artificial intelligence in higher education. Information. 2024;15(1):41. doi:10.3390/info15010041
  17. Wang C, Zhang X, Yu H, et al. Privacy protection in using artificial intelligence for healthcare. Healthcare. 2022;10:1878. doi:10.3390/healthcare10101878
  18. Wobo KN, Nnamani IO, Alinnor EA, Gabriel-Job N, Paul N. Medical students’ perception of the use of artificial intelligence in medical education. Int J Res Med Sci. 2024;13(1):82–89. doi:10.18203/2320-6012.ijrms20244099
  19. Wu C, Zhang H, Carroll JM. AI governance in higher education: case studies of guidance at Big Ten universities. Educ Sci. 2024;14(5):500. doi:10.3390/educsci14050500
  20. Peng Y, Malin BA, Rousseau JF, et al. From GPT to DeepSeek: significant gaps remain in realizing AI in healthcare. J Biomed Inform. 2025;163:104791. doi:10.1016/j.jbi.2025.104791
  21. Schneider K, Tomchuk D, Snyder B, Bisch T, Koch G. Incorporating artificial intelligence into athletic training education: developing case-based scenarios using ChatGPT. Athl Train Educ J. 2024;19(1):42–50.
  22. Alier M, García Peñalvo FJ, Camba JD. Generative artificial intelligence in education: from deceptive to disruptive. Int J Interact Multimed Artif Intell. 2024;8(5):5–14. doi:10.9781/ijimai.2024.02.011
  23. Oliver A, Guiller J. Generative AI in sport and exercise psychology: exploring opportunities and overcoming challenges. Sport Exerc Psychol Rev. 2024;19(2):37–45. doi:10.1080/1612197X.2024.2394234

Institutional Policies & Guidelines

  1. A.T. Still University. University AI Integration Reference Document. Published 2025.
  2. American Medical Association. AMA Principles for Augmented Intelligence Development, Deployment, and Use. Published November 2023. Accessed March 2026.
  3. Campus AI Exchange. AI in Academia: Policies, Guidelines, and Governance. Published 2025. Accessed March 2026.
  4. Columbia University Office of the Provost. Generative AI Policy & Provost’s Working Group on Generative AI. Accessed March 2026.
  5. Duke University Office of the Provost. Artificial Intelligence Policies, Guidelines and Considerations. Accessed March 2026.
  6. Harvard University Information Technology. Guidelines for Using ChatGPT and Other Generative AI Tools at Harvard. Accessed March 2026.
  7. Loyola University Chicago. Loyola AI Policy. Accessed March 2026.
  8. Michigan State University. Generative AI Guidelines for Use. Accessed March 2026.
  9. Northwestern University Feinberg School of Medicine. Feinberg Use of Generative AI Tools Policy. Accessed March 2026.
  10. Stanford University. Stanford Course Policy on AI Use. Accessed March 2026.
  11. University of Chicago Office of the Provost. Generative AI Guidance. Published Spring 2023. Accessed March 2026.
  12. University of Illinois System Office of the Executive Vice President for Academic Affairs. Generative AI Guidance for Instructors. Accessed March 2026.
  13. University of Wisconsin–Green Bay. Generative Artificial Intelligence Policy. Accessed March 2026.
  14. Vanderbilt University. Vanderbilt Syllabus AI Policies. Accessed March 2026.
  15. Yale University Poorvu Center for Teaching and Learning. Guidelines for the Use of Generative AI Tools. Accessed March 2026.

Reports, White Papers & Manuals

  1. A.T. Still University. Artificial Intelligence Technology at A.T. Still University. Published 2021.
  2. Anderson DJ, Kim D, Richardson J, et al. Student Guide to Artificial Intelligence (AI-U). Elon University & Association of American Colleges & Universities; 2025. Accessed March 2026.
  3. EDUCAUSE. 2024 EDUCAUSE Action Plan: AI Policies and Guidelines. EDUCAUSE; 2024. Accessed March 2026.
  4. Josiah Macy Jr. Foundation. Conference on artificial intelligence in medical education: proceedings and recommendations. Acad Med. 2025;100(9 suppl):S1–S80. doi:10.1097/ACM.0000000000006099
  5. Online Learning Consortium. Student Engagement and AI Research: Overview and Findings. OLC; 2025. Accessed March 2026.
  6. Parker VJ, Economou NJ, Silcox C. AI Governance in Health Systems: Aligning Innovation, Accountability, and Trust. Duke-Margolis Center for Health Policy; October 2024. Accessed March 2026.
  7. Teach Access; Every Learner Everywhere. Where AI Meets Accessibility. Accessed March 2026.
  8. World Economic Forum. AI Value Alignment. WEF White Paper. World Economic Forum; 2024. Accessed March 2026.

Meeting Transcripts & Presentations

  1. Waldren SE. AI in Family Medicine: Transforming Your Practice [online CME course; 3 sessions]. American Academy of Family Physicians; May 2023. Accessed April 2026.
Notes: Formatted in AMA citation style (11th ed.). Links verified March 2026. Items marked ⚠ require follow-up with the original submitter. Journal titles abbreviated per NLM standard. For entries with et al., full author lists are on file. Internal ATSU/AACOM documents are not publicly accessible and are excluded from linking.