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

Viewpoint and Opinions on Innovation in Medical Education (78) Development and Evaluation of Research Methods, Instruments and Tools (744) Artificial Intelligence (AI) in Medical Education (182) New Methods and Approaches in Medical Education (374) Generative Language Models Including ChatGPT (708) e-Learning and Digital Medical Education (902)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54507, first published .
Evidence-Based Learning Strategies in Medicine Using AI

Evidence-Based Learning Strategies in Medicine Using AI

Evidence-Based Learning Strategies in Medicine Using AI

Authors of this article:

Juan Pablo Arango-Ibanez1 Author Orcid Image ;   Jose Alejandro Posso-Nuñez1 Author Orcid Image ;   Juan Pablo Díaz-Solórzano1 Author Orcid Image ;   Gustavo Cruz-Suárez2, 3 Author Orcid Image
Article Authors Cited by (18) Tweetations (7) Metrics

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  2. Matsko C, Cervantes J. Third-Party Resources: The New Wave of Medical Education. Medical Science Educator 2024;35(2):1089 View
  3. Bland T. Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI–Based Mixed Methods Study. JMIR Medical Education 2025;11:e63865 View
  4. García-Rudolph A, Sanchez-Pinsach D, Wright M, Opisso E, Vidal J. Assessing readability of explanations and reliability of answers by GPT-3.5 and GPT-4 in non-traumatic spinal cord injury education. Medical Teacher 2025;47(8):1336 View
  5. Saxena S, Barreto Chang O, Suppan M, Meco B, Vacas S, Radtke F, Matot I, Devos A, Maze M, Gisselbaek M, Berger-Estilita J. A comparison of large language model-generated and published perioperative neurocognitive disorder recommendations: a cross-sectional web-based analysis. British Journal of Anaesthesia 2025 View
  6. Koo M. ChatGPT Research: A Bibliometric Analysis Based on the Web of Science from 2023 to June 2024. Knowledge 2025;5(1):4 View
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  8. Duan S, Liu C, Rong T, Zhao Y, Liu B. Integrating AI in medical education: a comprehensive study of medical students’ attitudes, concerns, and behavioral intentions. BMC Medical Education 2025;25(1) View
  9. Gisselbaek M, Berger-Estilita J, Devos A, Ingrassia P, Dieckmann P, Saxena S. Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration. BMC Anesthesiology 2025;25(1) View
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  13. Saxena S, Tsobgnie M, Südy R, Gisselbaek M, Lechien J, Carella M, Ingrassia P, Dieckmann P, Berger-Estilita J. Generation Z versus generative artificial intelligence: a cross-sectional study assessing medical students’ confidence and over-reliance on artificial intelligence in perioperative clinical scenarios. European Journal of Anaesthesiology 2025 View
  14. Lin Y, Luo Z, Ye Z, Zhong N, Zhao L, Zhang L, Li X, Chen Z, Chen Y. Applications, Challenges and Prospects of Generative Artificial Intelligence Empowering Medical Education: A scoping review (Preprint). JMIR Medical Education 2025 View
  15. Mueller E, Gahr S, Schnell A, Schildmann E, Boehlke C, Roch C. Challenges in opioid therapy implementation: national survey of palliative care consultation services. BMC Palliative Care 2025;24(1) View
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  17. Camarata T, Spizzieri A, Kulkarni A. Undergraduate medical education amidst volatility, uncertainty, complexity, ambiguity. Frontiers in Medicine 2025;12 View
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