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

Editorial (4) Theme Issue: ChatGPT and Generative Language Models in Medical Education (98) Chatbots and Conversational Agents (617) Artificial Intelligence (1676) Clinical Information and Decision Making (1612) Machine Learning (1694) Decision Support for Health Professionals (1326) Validity, Reliability, and Bias (103)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50174, first published .
ChatGPT in Medical Education: A Precursor for Automation Bias?

ChatGPT in Medical Education: A Precursor for Automation Bias?

ChatGPT in Medical Education: A Precursor for Automation Bias?

Authors of this article:

Tina Nguyen1 Author Orcid Image
Article Authors Cited by (12) Tweetations (8) Metrics

Journals

  1. Dsouza J. A Student’s Viewpoint on ChatGPT Use and Automation Bias in Medical Education. JMIR Medical Education 2024;10:e57696 View
  2. Cheng J. Applications of Large Language Models in Pathology. Bioengineering 2024;11(4):342 View
  3. Mehta S, Mehta N. Embracing the illusion of explanatory depth: A strategic framework for using iterative prompting for integrating large language models in healthcare education. Medical Teacher 2025;47(2):208 View
  4. Rojas-Carabali W, Agrawal R, Gutierrez-Sinisterra L, Baxter S, Cifuentes-González C, Wei Y, Abisheganaden J, Kannapiran P, Wong S, Lee B, de-la-Torre A, Agrawal R. Natural Language Processing in medicine and ophthalmology: A review for the 21st-century clinician. Asia-Pacific Journal of Ophthalmology 2024;13(4):100084 View
  5. Adams T, Claydon M. ChatGPT as a primary healthcare consultation training tool for combat medical technicians. BMJ Military Health 2024:e002722 View
  6. Al-Naser Y, Halka F, Ng B, Mountford D, Sharma S, Niure K, Yong-Hing C, Khosa F, Van der Pol C. Evaluating Artificial Intelligence Competency in Education: Performance of ChatGPT-4 in the American Registry of Radiologic Technologists (ARRT) Radiography Certification Exam. Academic Radiology 2025;32(2):597 View
  7. Liu F, Chang X, Zhu Q, Huang Y, Li Y, Wang H. Assessing clinical medicine students’ acceptance of large language model: based on technology acceptance model. BMC Medical Education 2024;24(1) View
  8. Kim J, Vajravelu B. Assessing the Current Limitations of Large Language Models in Advancing Health Care Education. JMIR Formative Research 2025;9:e51319 View
  9. Uribe S, Maldupa I, Schwendicke F. Integrating Generative AI in Dental Education: A Scoping Review of Current Practices and Recommendations. European Journal of Dental Education 2025 View
  10. Gungor N, Esen F, Tasci T, Gungor K, Cil K. Navigating Gynecological Oncology with Different Versions of ChatGPT: A Transformative Breakthrough or the Next Black Box Challenge?. Oncology Research and Treatment 2024;48(3):102 View
  11. Godwin R, Tung A, Berkowitz D, Melvin R. Transforming Physiology and Healthcare through Foundation Models. Physiology 2025;40(3):233 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