Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51346, first published .
ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study

ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study

ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study

Authors of this article:

Anthony Skryd1 Author Orcid Image ;   Katharine Lawrence2 Author Orcid Image

Journals

  1. Rashid A, Skelly R, Valdes C, Patel P, Solberg L, Giordano C, Modave F. Evaluating ChatGPT’s moral competence in health care-related ethical problems. JAMIA Open 2024;7(3) View
  2. Hindy J, Souaid T, Kovacs C. Capabilities of GPT-4o and Gemini 1.5 Pro in Gram stain and bacterial shape identification. Future Microbiology 2024;19(15):1283 View
  3. Gan W, Ouyang J, Li H, Xue Z, Zhang Y, Dong Q, Huang J, Zheng X, Zhang Y. Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e57037 View
  4. Agrawal A. Fairness in AI-Driven Oncology: Investigating Racial and Gender Biases in Large Language Models. Cureus 2024 View
  5. Brin D, Sorin V, Konen E, Nadkarni G, Glicksberg B, Klang E. How GPT models perform on the United States medical licensing examination: a systematic review. Discover Applied Sciences 2024;6(10) View
  6. Gupta A, Quinn M, Greene M, Fowler K, Chopra V. Implementation of a bundle to improve diagnosis in hospitalized patients: lessons learned. Diagnosis 2025;12(1):68 View
  7. Fast D, Adams L, Busch F, Fallon C, Huppertz M, Siepmann R, Prucker P, Bayerl N, Truhn D, Makowski M, Löser A, Bressem K. Autonomous medical evaluation for guideline adherence of large language models. npj Digital Medicine 2024;7(1) View
  8. Maaz S, Palaganas J, Palaganas G, Bajwa M. A guide to prompt design: foundations and applications for healthcare simulationists. Frontiers in Medicine 2025;11 View
  9. Scherr R, Spina A, Dao A, Andalib S, Halaseh F, Blair S, Wiechmann W, Rivera R. Novel Evaluation Metric and Quantified Performance of ChatGPT-4 Patient Management Simulations for Early Clinical Education: Experimental Study. JMIR Formative Research 2025;9:e66478 View
  10. Wang X, Ye H, Zhang S, Yang M, Wang X. Evaluation of the Performance of Three Large Language Models in Clinical Decision Support: A Comparative Study Based on Actual Cases. Journal of Medical Systems 2025;49(1) View
  11. Vrdoljak J, Boban Z, Vilović M, Kumrić M, Božić J. A Review of Large Language Models in Medical Education, Clinical Decision Support, and Healthcare Administration. Healthcare 2025;13(6):603 View
  12. Pohn B, Mehnen L, Fitzek S, Choi K, Braun R, Hatamikia S. Integrating artificial intelligence into pre-clinical medical education: challenges, opportunities, and recommendations. Frontiers in Education 2025;10 View
  13. Rincón E, Jimenez D, Aguilar L, Flórez J, Tapia Á, Peñuela C. Mapping the use of artificial intelligence in medical education: a scoping review. BMC Medical Education 2025;25(1) View
  14. Choi A, Kim H, Choi M, Ramasamy S, Kim Y, Jung S. Performance of GPT-4 Turbo and GPT-4o in Korean Society of Radiology In-Training Examinations. Korean Journal of Radiology 2025;26(6):524 View
  15. Chokkakula S, Chong S, Yang B, Jiang H, Yu J, Han R, Attitalla I, Yin C, Zhang S. Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes. Frontiers in Medicine 2025;12 View
  16. Bies J, Reddy S, Botros M, Stuart A, Dwivedi A, Edwards B, Hechanova L, Mukherjee D, Deoker A. Impact of a Three-Week ChatGPT 3.5-Generated Case-Based Professionalism Curriculum for Internal Medicine Residents at a United States Medical Residency: A Pilot Study. Cureus 2025 View
  17. Albashrawi M. Generative AI for decision-making: A multidisciplinary perspective. Journal of Innovation & Knowledge 2025;10(4):100751 View
  18. Panchasara B, Malem A, Calcraft P, Zhou S. Evaluating AI Versus Examiner Feedback in Ophthalmology Exit Examinations: A Pilot Study. Cureus 2025 View
  19. Masur L, Driller M, Suppiah H, Matzka M, Sperlich B, Düking P. Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study. JMIR Formative Research 2025;9:e71358 View
  20. Cervantes D, Morales E. Perception and use of ChatGPT among university students. Analysis based on K-Modes. Data and Metadata 2025;4:729 View
  21. Cheng Y, Zhu L. A review of ChatGPT in medical education: exploring advantages and limitations. International Journal of Surgery 2025;111(7):4586 View
  22. Wu Y, Tso K, Chiang C. Impact of language and question types on ChatGPT-4o's performance in answering oral pathology questions from Taiwan National Dental Licensing Examinations. Journal of Dental Sciences 2025;20(4):2176 View
  23. Ahmad N, Julaihi A, Rajalingam P. From Data to Diagnosis: Rethinking Clinical Decision Support With Explainable AI. Computer 2025;58(8):130 View
  24. Suárez-García R, Chavez-Castañeda Q, Orrico-Pérez R, Valencia-Marin S, Castañeda-Ramírez A, Quiñones-Lara E, Ramos-Cortés C, Gaytán-Gómez A, Cortés-Rodríguez J, Jarquín-Ramírez J, Aguilar-Marchand N, Valdés-Hernández G, Campos-Martínez T, Vilches-Flores A, Leon-Cabrera S, Méndez-Cruz A, Jay-Jímenez B, Saldívar-Cerón H. DIALOGUE: A Generative AI-Based Pre–Post Simulation Study to Enhance Diagnostic Communication in Medical Students Through Virtual Type 2 Diabetes Scenarios. European Journal of Investigation in Health, Psychology and Education 2025;15(8):152 View
  25. 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
  26. Morales Morillo M, Iturralde Fernández N, Pellicer Castillo L, Suarez A, Freire Y, Diaz-Flores García V. Performance of ChatGPT-4 as an Auxiliary Tool: Evaluation of Accuracy and Repeatability on Orthodontic Radiology Questions. Bioengineering 2025;12(10):1031 View
  27. Promsiri T. AI and the psychology of educational disruption: Historical patterns and cognitive implications. Acta Psychologica 2025;260:105637 View
  28. Lilamand M, Decaix T, Gourraud P, Dufour R, Gavazzi G, Boaddaert J, Roubaud-Baudron C, Vallet H, Annweiler C, Chapelet G. Evaluating how different versions of ChatGPT align with expert opinions on geriatric script concordance tests. European Geriatric Medicine 2025 View
  29. 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
  30. Mugu V, Carr B, Khandelwal A, Olson M, Schupbach J, Zietlow J, Vu T, Chan A, Collura C, Schmitz J. Human-Machine Agreement in Medical Ethics: Patient Autonomy Case-Based Evaluation of Large Language Models. JMIR Medical Informatics 2025;13:e77061 View
  31. Ho J, Qian Z, Lau L, Yip H, Chiu P. Artificial Intelligence in Digestive Endoscopy Training—The Past, Present, and Future. Digestive Endoscopy 2025 View
  32. Asif S, Hadi F, Qurrat-ul-ain , Yan Y, Wang V, Xu D. The impact of large language models on medical research and patient care: A systematic review of current trends, challenges, and future innovations. Computer Science Review 2026;59:100847 View
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Conference Proceedings

  1. Wang A, Ruparel R, Iurchenko A, Jhun P, Séguin J, Strachan P, Wong R, Karthikesalingam A, Matias Y, Hassidim A, Webster D, Semturs C, Krause J, Schaekermann M. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Generative AI for medical education: Insights from a case study with medical students and an AI tutor for clinical reasoning View