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

Artificial Intelligence (AI) in Medical Education (127) Generative Language Models Including ChatGPT (513) e-Learning and Digital Medical Education (801) New Methods and Approaches in Medical Education (316) Testing and Assessment in Medical Education (72) Chatbots and Conversational Agents (640) Theme Issue: ChatGPT and Generative Language Models in Medical Education (102)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52784, first published .
Influence of Model Evolution and System Roles on ChatGPT’s Performance in Chinese Medical Licensing Exams: Comparative Study

Influence of Model Evolution and System Roles on ChatGPT’s Performance in Chinese Medical Licensing Exams: Comparative Study

Influence of Model Evolution and System Roles on ChatGPT’s Performance in Chinese Medical Licensing Exams: Comparative Study

Authors of this article:

Shuai Ming1, 2, 3 Author Orcid Image ;   Qingge Guo1, 2, 3 Author Orcid Image ;   Wenjun Cheng4 Author Orcid Image ;   Bo Lei1, 2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Kipp M. From GPT-3.5 to GPT-4.o: A Leap in AI’s Medical Exam Performance. Information 2024;15(9):543 View
  2. 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
  3. Wang L, Li J, Zhuang B, Huang S, Fang M, Wang C, Li W, Zhang M, Gong S. Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis. Journal of Medical Internet Research 2025;27:e64486 View
  4. Wang W, Fu J, Zhang Y, Hu K. A Comparative Analysis of GPT-4o and ERNIE Bot in a Chinese Radiation Oncology Exam. Journal of Cancer Education 2025 View