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

Formative Evaluation of Digital Health Interventions (5318) e-Learning and Digital Medical Education (1629) Chatbots and Conversational Agents (1210) Artificial Intelligence (4934) Design and Evaluation of Medical Education Materials (83) Artificial Intelligence (AI) in Medical Education (829) Generative Language Models Including ChatGPT (1600)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90673, first published .
Doctor in white coat using a tablet in a modern office with a computer

Performance of DeepSeek V3, DeepSeek R1, ChatGPT 4o, and ChatGPT o1 on the National Health Professional and Technical Qualification Examination (Intermediate Level) in China: Comparative Analysis

Performance of DeepSeek V3, DeepSeek R1, ChatGPT 4o, and ChatGPT o1 on the National Health Professional and Technical Qualification Examination (Intermediate Level) in China: Comparative Analysis

Authors of this article:

Jipeng Xue1 Author Orcid Image ;   Shitong Wang2 Author Orcid Image ;   Jinan Yang1 Author Orcid Image ;   Xiaogang Guo1 Author Orcid Image ;   Jie Shen2 Author Orcid Image ;   Qiwen Wang1 Author Orcid Image
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Journals

  1. Zhang W, Li X, Yuan R, Zhang Y, Yang Y, Xu Y, Zhong R, Chen S, Liu D, Gao L, Hu K. Exploratory task-specific evaluation of large language models in lung cancer clinical scenarios: A comparative study. DIGITAL HEALTH 2026;12 View
  2. Agathokleous E, Loban R, Kitao M, Cabral P, Kattel G, Yu Z. One hundred important questions facing forestry research: an exploratory case study of AI-generated agendas, biases, and future scenarios. Journal of Forestry Research 2026;37(1) View