Published on in Vol 9 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/48433, first published
.
Journals
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- Tangadulrat P, Sono S, Tangtrakulwanich B. Using ChatGPT for Clinical Practice and Medical Education: Cross-Sectional Survey of Medical Students’ and Physicians’ Perceptions. JMIR Medical Education 2023;9:e50658 View
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- He W, Zhang W, Jin Y, Zhou Q, Zhang H, Xia Q. Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative Analysis. Journal of Medical Internet Research 2024;26:e54706 View
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- 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
- MohanaSundaram A, Emran T. A commentary on ‘ChatGPT in medicine: prospects and challenges: a review article’ – correspondence. International Journal of Surgery 2024;110(8):5178 View
- Li X, Guo H, Li D, Zheng Y. Engine of Innovation in Hospital Pharmacy: Applications and Reflections of ChatGPT. Journal of Medical Internet Research 2024;26:e51635 View
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- Schweitzer S, Conrads M, Naeve J. Claude Rules: An Evaluation of Large Language Models’ Applicability to Solve Cases in German Business Law. Procedia Computer Science 2024;246:2675 View
- Ren Y, Luo X, Wang Y, Li H, Zhang H, Li Z, Lai H, Li X, Ge L, ESTILL J, Zhang L, Yang S, Chen Y, Wen C, Bian Z. Large Language Models in Traditional Chinese Medicine: A Scoping Review. Journal of Evidence-Based Medicine 2025;18(1) View
- Yassin Y, Nguyen T, Panchal K, Getchell K, Aungst T. Evaluating a generative artificial intelligence accuracy in providing medication instructions from smartphone images. Journal of the American Pharmacists Association 2025;65(1):102284 View
- de Donato D, Aguilar G, Ribeiro L, dos Santos L, dos Santos L, Costa W, de Oliveira A. Development and Content Analysis Protocol for Evaluating Artificial Intelligence in Drug‐Related Information. Journal of Evaluation in Clinical Practice 2025;31(1) View
- Kusaka S, Akitomo T, Hamada M, Asao Y, Iwamoto Y, Tachikake M, Mitsuhata C, Nomura R. Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry. Diagnostics 2024;14(24):2818 View
- Yang H, Hu M, Most A, Hawkins W, Murray B, Smith S, Li S, Sikora A. Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education. Frontiers in Artificial Intelligence 2025;7 View
- Beheshti M, Toubal I, Alaboud K, Almalaysha M, Ogundele O, Turabieh H, Abdalnabi N, Boren S, Scott G, Dahu B. Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review. Informatics 2025;12(1):9 View
- Aydin S, Karabacak M, Vlachos V, Margetis K. Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support. Frontiers in Medicine 2025;12 View
- Wang Y, Shen H, Chen T, Chiang S, Lin T. Performance of ChatGPT-3.5 and ChatGPT-4 in the Taiwan National Pharmacist Licensing Examination: Comparative Evaluation Study. JMIR Medical Education 2025;11:e56850 View
- Kang B, Lee S, Bae H, Kim C. Current Status and Direction of Generative Large Language Model Applications in Medicine : Focusing on East Asian Medicine. Journal of Physiology & Pathology in Korean Medicine 2024;38(2):49 View
- Zhang J, Wang J, Zhang J, Xia X, Zhou Z, Zhou X, Wu Y. Young Adult Perspectives on Artificial Intelligence–Based Medication Counseling in China: Discrete Choice Experiment. Journal of Medical Internet Research 2025;27:e67744 View
- Kiyomiya K, Aomori T, Kawazoe H, Ohtani H. Current Use of Generative Artificial Intelligence in Pharmacy Practice: A Literature Mini-review. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) 2025;51(4):177 View
- Khatri S, Sengul A, Moon J, Jackevicius C. Accuracy and reproducibility of ChatGPT responses to real‐world drug information questions. JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2025 View