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

Development and Evaluation of Research Methods, Instruments and Tools (681) Theme Issue: ChatGPT and Generative Language Models in Medical Education (109) e-Learning and Digital Medical Education (837) Chatbots and Conversational Agents (679) Artificial Intelligence (1902) mHealth in Medical Education and Training (109) New Methods and Approaches in Medical Education (333) Generative Language Models Including ChatGPT (592)

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
Article Authors Cited by (25) Tweetations (7) Metrics

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 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

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