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

Artificial Intelligence (AI) in Medical Education (630) e-Learning and Digital Medical Education (1513) Scientometrics, Infometrics, and Altmetrics (463) New Methods and Approaches in Medical Education (596) mHealth in Medical Education and Training (215) Generative Language Models Including ChatGPT (1372)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72356, first published .
Doctor holding tablet with medical icons and data visualization

ChatGPT in Medical Education: Bibliometric and Visual Analysis

ChatGPT in Medical Education: Bibliometric and Visual Analysis

Authors of this article:

Yuning Zhang1 Author Orcid Image ;   Xiaolu Xie2 Author Orcid Image ;   Qi Xu3 Author Orcid Image
Article Authors Cited by (10) Tweetations (1) Metrics

Journals

  1. Rios-Garcia W, Silva-Jiménez S, Gálvez-Rodríguez E, Alberca-Naira Y, Via-y-Rada-Torres A, Rios-Garcia A. Assessment of ChatGPT-5 as an Artificial Intelligence Tool for Exploring Emerging Dimensions of Clinical Simulation: A Proof-of-concept Study. Journal of Medical Systems 2026;50(1) View
  2. Chen H, Chen P, Hwang G, Wu S. Beyond surgical applications: A systematic review of educational robotics in health professional development. Nurse Education in Practice 2026;92:104734 View
  3. Kaya A, Emekli E, Kiyak Y. Mapping Applications and Outcomes of Large-Language-Model-Generated Cases in Health Professions Education: A Scoping Review.. Revista Española de Educación Médica 2026;7(1) View
  4. Pal A, Datta D, Venkata Ramulu M, Agnihotri V. Communication Skills in Medical Education and Practice: A Bibliometric Analysis of the Current Research Landscape. Cureus 2026 View
  5. Temizsoy Korkmaz F, Karip B. Global trends in Artificial Intelligence applications in anatomy: a content-based bibliometric analysis. Journal of Health Sciences and Medicine 2026;9(2):313 View
  6. Mastour H, Moghadasin M, Caliskan S, Keshavarz F, Shadravan M, Sohrabi S. Decoding medical students’ attitudes toward ChatGPT: Psychometric evaluation of the Persian version of the attitudes toward ChatGPT questionnaire. Computers in Human Behavior Reports 2026;22:101069 View
  7. 李 娟. Current Status of Digital Intelligence-Enabled Teaching Evaluation from the Perspective of New Medical Education and Its Implications for Nursing Teaching. Nursing Science 2026;15(05):138 View
  8. Muthu S, Kolarpatti Ponnusamy D, Muthiah Rathinam M, Viswanathan V, Rajappan Chandra S, Sharun K. Evaluating Large Language Models for Patient‑Facing Platelet‑Rich Plasma Information in Knee Osteoarthritis: Development and Application of the Composite Clinical Reliability Score (CCRS). Indian Journal of Orthopaedics 2026 View
  9. Arslan İ, Terzi Kumandaş M, Arslan D, Aslan Koca K, Saltoğlu T, Çalışkan S, Terzi M. Humans vs. large language models in neurology board examination: performance, limitations, and reference reliability. Acta Neurologica Belgica 2026 View
  10. He K, Xiao Q, Chen W, Jing L, Wang Y, Li S, Yang D, Xu H, Pang K, Xiao R, Liu Z, Zhuoga D, Chen R, Li J, Chang L, Zhou Y, Zhang Z, Li R, Ying L, Li R, Wang H, Yin X, Zhen G, Cai S, Shan Q, Wang Q, Zhuoga D, Yangjin C, Luobu G, Ji T, Wu D. Authoritative Textbook-Augmented Large Language Models for High-Altitude Public Health Medical Education in the Xizang Autonomous Region: Cross-Sectional Comparative Evaluation Study. Journal of Medical Internet Research 2026;28:e92852 View