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

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
20. Luo Y, Miao Y, Zhao Y, Li J, Wu Y. Exploring the Current Applications and Effectiveness of ChatGPT in Nursing: An Integrative Review. Journal of Advanced Nursing 2024 View
21. Park G, Kim H, Go U. Generative artificial intelligence in nursing: A scoping review. Collegian 2024;31(6):428 View
22. Morishita M, Fukuda H, Yamaguchi S, Muraoka K, Nakamura T, Hayashi M, Yoshioka I, Ono K, Awano S. An exploratory assessment of GPT-4o and GPT-4 performance on the Japanese National Dental Examination. The Saudi Dental Journal 2024;36(12):1577 View
23. Lee J, Park S, Shin J, Cho B. Analyzing evaluation methods for large language models in the medical field: a scoping review. BMC Medical Informatics and Decision Making 2024;24(1) View
24. Zhou Y, Li S, Tang X, He Y, Ma H, Wang A, Pei R, Piao M. Using ChatGPT in Nursing: Scoping Review of Current Opinions. JMIR Medical Education 2024;10:e54297 View
25. Jin H, Kim E. Performance of GPT-3.5 and GPT-4 on the Korean Pharmacist Licensing Examination: Comparison Study. JMIR Medical Education 2024;10:e57451 View
26. Abdelwahab S, Taha M, Farasani A, Jerah A, Abdullah S, Aljahdali I, Oraibi B, Alfaifi H, Alzahrani A, Oraibi O, Babiker Y, Hassan W. Artificial intelligence in nursing education: a bibliometric analysis of trends, challenges, and future directions. Teaching and Learning in Nursing 2024 View