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Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review
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Xiaojun Xu
, Yixiao Chen, Jing Miao - J Educ Eval Health Prof. 2024;21:6. Published online March 15, 2024
- DOI: https://doi.org/10.3352/jeehp.2024.21.6
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- 6 Web of Science
- 8 Crossref
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Abstract
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Supplementary Material - Background
ChatGPT is a large language model (LLM) based on artificial intelligence (AI) capable of responding in multiple languages and generating nuanced and highly complex responses. While ChatGPT holds promising applications in medical education, its limitations and potential risks cannot be ignored.
Methods
A scoping review was conducted for English articles discussing ChatGPT in the context of medical education published after 2022. A literature search was performed using PubMed/MEDLINE, Embase, and Web of Science databases, and information was extracted from the relevant studies that were ultimately included.
Results
ChatGPT exhibits various potential applications in medical education, such as providing personalized learning plans and materials, creating clinical practice simulation scenarios, and assisting in writing articles. However, challenges associated with academic integrity, data accuracy, and potential harm to learning were also highlighted in the literature. The paper emphasizes certain recommendations for using ChatGPT, including the establishment of guidelines. Based on the review, 3 key research areas were proposed: cultivating the ability of medical students to use ChatGPT correctly, integrating ChatGPT into teaching activities and processes, and proposing standards for the use of AI by medical students.
Conclusion
ChatGPT has the potential to transform medical education, but careful consideration is required for its full integration. To harness the full potential of ChatGPT in medical education, attention should not only be given to the capabilities of AI but also to its impact on students and teachers. -
Citations
Citations to this article as recorded by
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Stefano Sandrone
Brain Disorders.2024; 15: 100145. CrossRef - ChatGPT in education: unveiling frontiers and future directions through systematic literature review and bibliometric analysis
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Asian Education and Development Studies.2024;[Epub] CrossRef - Evaluating the performance of ChatGPT-3.5 and ChatGPT-4 on the Taiwan plastic surgery board examination
Ching-Hua Hsieh, Hsiao-Yun Hsieh, Hui-Ping Lin
Heliyon.2024; 10(14): e34851. CrossRef - Preparing for Artificial General Intelligence (AGI) in Health Professions Education: AMEE Guide No. 172
Ken Masters, Anne Herrmann-Werner, Teresa Festl-Wietek, David Taylor
Medical Teacher.2024; 46(10): 1258. CrossRef - A Comparative Analysis of ChatGPT and Medical Faculty Graduates in Medical Specialization Exams: Uncovering the Potential of Artificial Intelligence in Medical Education
Gülcan Gencer, Kerem Gencer
Cureus.2024;[Epub] CrossRef - Research ethics and issues regarding the use of ChatGPT-like artificial intelligence platforms by authors and reviewers: a narrative review
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Science Editing.2024; 11(2): 96. CrossRef - Innovation Off the Bat: Bridging the ChatGPT Gap in Digital Competence among English as a Foreign Language Teachers
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Education Sciences.2024; 14(9): 946. CrossRef - Exploring the perceptions of Chinese pre-service teachers on the integration of generative AI in English language teaching: Benefits, challenges, and educational implications
Ji Young Chung, Seung-Hoon Jeong
Online Journal of Communication and Media Technologies.2024; 14(4): e202457. CrossRef
- Chatbots in neurology and neuroscience: Interactions with students, patients and neurologists
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