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Testing and Assessment in Medical Education (115) e-Learning and Digital Medical Education (965) New Methods and Approaches in Medical Education (424) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Chatbots and Conversational Agents (788) Generative Language Models Including ChatGPT (818) Nursing Education and Training (194)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52746, first published .
Performance of ChatGPT on Nursing Licensure Examinations in the United States and China: Cross-Sectional Study

Performance of ChatGPT on Nursing Licensure Examinations in the United States and China: Cross-Sectional Study

Performance of ChatGPT on Nursing Licensure Examinations in the United States and China: Cross-Sectional Study

Authors of this article:

Zelin Wu1 Author Orcid Image ;   Wenyi Gan2 Author Orcid Image ;   Zhaowen Xue1 Author Orcid Image ;   Zhengxin Ni3 Author Orcid Image ;   Xiaofei Zheng1 Author Orcid Image ;   Yiyi Zhang1 Author Orcid Image
Article Authors Cited by (17) Tweetations Metrics

Journals

  1. Padovan M, Palla A, Marino R, Porciatti F, Cosci B, Carlucci F, Nerli G, Petillo A, Necciari G, Dell’Amico L, Lucisano V, Scarinci S, Foddis R. ChatGPT-4 vs. Google Bard: Which Chatbot Better Understands the Italian Legislative Framework for Worker Health and Safety?. Applied Sciences 2025;15(3):1508 View
  2. Hack S, Alsleibi S, Saleh N, Alon E, Rabinovics N, Remer E. Are chatbots a reliable source for patient frequently asked questions on neck masses?. European Archives of Oto-Rhino-Laryngology 2025;282(8):4273 View
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  5. Kim B, Shin W. Performance Evaluation of ChatGPT-4o on Korean Physical Therapist Licensing Examination. Physical Therapy Rehabilitation Science 2025;14(2):157 View
  6. Sato H, Ogasawara K, Sakurai H. Performance Evaluation of 18 Generative AI Models (ChatGPT, Gemini, Claude, and Perplexity) in 2024 Japanese Pharmacist Licensing Examination: Comparative Study. JMIR Medical Education 2025;11:e76925 View
  7. Harrington J, Booth R, Jackson K. Large Language Models in Nursing Education: Concept Analysis. JMIR Nursing 2025;8:e77948 View
  8. Hack S, Gvili B, Tessler I, Yogev D, Wolfowitz A, Rozendorn N. Can Chatbots Please Both Patients and Experts? Benchmarking AI and Clinical Guidelines for Hearing Loss. Otology & Neurotology 2026;47(1):64 View
  9. Xu L, Cong X, Wang R, Li N, Liu X, Wang R, Xu C. Performance of the Large Language Models on the Chinese National Nurse Licensure Examination: Cross-Sectional Evaluation Study. JMIR Medical Informatics 2025;13:e78279 View
  10. Qi B, Zheng Y, Wang Y, Xu L. Comparison of ChatGPT and DeepSeek on a Standardized Audiologist Qualification Examination in Chinese: Observational Study. JMIR Formative Research 2025;9:e79534 View
  11. Cubelo F, Rantala A, Elo S, Koivunen K, Saarnio R, Mäenpää P. Challenges and Perceptions of Graduating Nursing Students to Develop the Competence-Based National Nursing Examination in Finland: A Qualitative Study. Policy, Politics, & Nursing Practice 2025 View
  12. Ma L, Liu Q, Li P, Huang J, Xu Y, Pang J, Xie H. Analysis of responses to comprehensive nursing exam questions by large language models: A comparison of ChatGPT, DeepSeek and students. Nurse Education in Practice 2026;91:104691 View
  13. Hardie P, Darley A, Derwin R, Eustace-Cook J, Kearns S, Mc Brien B, Siddiquee A, Zheng D, Mooney M. Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review. BMC Nursing 2026;25(1) View
  14. Yoon Y, Baek W, Jo H, Hong C, Ji Y. The potential impact of generative AI across Miller’s pyramid of clinical competence: A systematic review. Nurse Education in Practice 2026;92:104775 View
  15. Wang S, Chi X, Hao Q, Wang H, Tao H, Xiao J, Wu C, Deng J, Xu H, Sun R. Large language models in Chinese anesthesiology residency examinations: a comparative analysis of performance, reliability and clinical reasoning. BMC Medical Education 2026;26(1) View
  16. Pham T, Al-Hebshi S. Classification of pediatric dental diseases from panoramic radiographs using natural language transformer and deep learning models. Frontiers in Artificial Intelligence 2026;9 View

Conference Proceedings

  1. Zhang X, Cao S, Zhu X, Jia Y, Zhou S. 2025 6th International Conference on Computers and Artificial Intelligence Technology (CAIT). Mapping Knowledge Landscapes and Emerging Trends of Generative AI in Medical Education: A Bibliometric and Visualization Analysis from 2019 to 2025 View