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

Theme Issue (2023): Artificial Intelligence (AI) in Nursing (8) Nursing Education and Training (129)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47305, first published .
Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study

Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study

Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study

Authors of this article:

Kazuya Taira1 Author Orcid Image ;   Takahiro Itaya2, 3 Author Orcid Image ;   Ayame Hanada1 Author Orcid Image
Article Authors Cited by (19) Tweetations (5) Metrics

Journals

  1. Kleebayoon A, Wiwanitkit V. Issues for consideration about use of ChatGPT. Comment on ‘Performance of ChatGPT on Specialty Certificate Examination in Dermatology multiple-choice questions’. Clinical and Experimental Dermatology 2024;49(7):729 View
  2. Pursnani V, Sermet Y, Kurt M, Demir I. Performance of ChatGPT on the US fundamentals of engineering exam: Comprehensive assessment of proficiency and potential implications for professional environmental engineering practice. Computers and Education: Artificial Intelligence 2023;5:100183 View
  3. Watari T, Takagi S, Sakaguchi K, Nishizaki Y, Shimizu T, Yamamoto Y, Tokuda Y. Performance Comparison of ChatGPT-4 and Japanese Medical Residents in the General Medicine In-Training Examination: Comparison Study. JMIR Medical Education 2023;9:e52202 View
  4. Sallam M, Barakat M, Sallam M. A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review. Interactive Journal of Medical Research 2024;13:e54704 View
  5. Wang S, Mo C, Chen Y, Dai X, Wang H, Shen X. Exploring the Performance of ChatGPT-4 in the Taiwan Audiologist Qualification Examination: Preliminary Observational Study Highlighting the Potential of AI Chatbots in Hearing Care. JMIR Medical Education 2024;10:e55595 View
  6. Tessler I, Wolfovitz A, Alon E, Gecel N, Livneh N, Zimlichman E, Klang E. ChatGPT’s adherence to otolaryngology clinical practice guidelines. European Archives of Oto-Rhino-Laryngology 2024;281(7):3829 View
  7. Dilan S. Hiwa , Sarhang Sedeeq Abdalla , Aso S. Muhialdeen , Hussein M. Hamasalih , Sanaa O. Karim . Assessment of Nursing Skill and Knowledge of ChatGPT, Gemini, Microsoft Copilot, and Llama: A Comparative Study. Barw Medical Journal 2024 View
  8. Yousif M. Mahmood , Rebaz O. Mohammed , Imad J. Habibullah , Hawbash M. Rahim , Abdulwahid M. Salih . Comparing ChatGPT and Google Bard: Assessing AI-Powered Information Retrieval in Nursing. Barw Medical Journal 2024 View
  9. Jo M, Kim M, Oh H, Choi M, Shin H, Lee T, Ahn H, Kim D, Kang S. Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery. International Journal of Colorectal Disease 2024;39(1) View
  10. Jeong H, Han S, Yu Y, Kim S, Jeon K. How well do large language model-based chatbots perform in oral and maxillofacial radiology?. Dentomaxillofacial Radiology 2024;53(6):390 View
  11. Miao Y, Luo Y, Zhao Y, Li J, Liu M, Wang H, Chen Y, Wu Y. Performance of GPT-4 on Chinese Nursing Examination. Nurse Educator 2024;49(6):E338 View
  12. Moglia A, Georgiou K, Cerveri P, Mainardi L, Satava R, Cuschieri A. Large language models in healthcare: from a systematic review on medical examinations to a comparative analysis on fundamentals of robotic surgery online test. Artificial Intelligence Review 2024;57(9) View
  13. Sallam M, Al-Mahzoum K, Alshuaib O, Alhajri H, Alotaibi F, Alkhurainej D, Al-Balwah M, Barakat M, Egger J. Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic. BMC Infectious Diseases 2024;24(1) View
  14. Ishida K, Hanada E. Potential of ChatGPT to Pass the Japanese Medical and Healthcare Professional National Licenses: A Literature Review. Cureus 2024 View
  15. Jin H, Lee H, Kim E. Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis. BMC Medical Education 2024;24(1) View
  16. Rehana H, Çam N, Basmaci M, Zheng J, Jemiyo C, He Y, Özgür A, Hur J, Lengauer T. Evaluating GPT and BERT models for protein–protein interaction identification in biomedical text. Bioinformatics Advances 2024;4(1) View
  17. Gülhan Güner S, Yiğit S, Berşe S, Dirgar E. Perspectives and experiences of health sciences academics regarding ChatGPT: A qualitative study. Medical Teacher 2024:1 View
  18. Kleib M, Darko E, Akingbade O, Kennedy M, Majekodunmi P, Nickel E, Vogelsang L. Current trends and future implications in the utilization of ChatGPT in nursing: A rapid review. International Journal of Nursing Studies Advances 2024;7:100252 View
  19. Tokgöz Kaplan T, Cankar M. Evidence‐Based Potential of Generative Artificial Intelligence Large Language Models on Dental Avulsion: ChatGPT Versus Gemini. Dental Traumatology 2024 View