Volume 4, Issue 3 (August 2025)
Health Science Monitor 2025, 4(3): 173-178 |
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Hosseinzadegan F, Hashemi S M, Sharifi S V, Khoshnoodifar M. ChatGPT Utility in Medical Education: A Systematic Review and Meta-Analysis. Health Science Monitor 2025; 4 (3) :173-178
URL: http://hsm.umsu.ac.ir/article-1-218-en.html
URL: http://hsm.umsu.ac.ir/article-1-218-en.html
Department of E-learning, Faculty of Medical Education and Learning Technologies, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract: (43 Views)
Background Learning and developing skills are crucial in science and technology. Recent advancements in communication technologies and Artificial Intelligence (AI) have introduced new tools for education, including AI chatbots that can interact with humans. Considering the importance of the subject in today’s world and the impact of ChatGPT utility in medical education, the present study was conducted.
Methods A search of international databases such as PubMed, Web of Science, Scopus, Science Direct, Web of Knowledge, EBSCO, Wiley, ISI, Elsevier, Embase databases, and Google Scholar search engine was conducted based on the PRISMA 2020-27-item checklist and keywords related to the objectives of the study. The search covered the period from 2019 to February 18, 2024. The total number of articles retrieved from the database search was 668. After applying specific, predefined criteria, we selected a final set of five relevant studies from 43 potentially eligible articles. All statistical analyses were performed using STATA/MP software version 17, with a significance level of less than 0.05.
Results Five studies were selected according to the inclusion criteria. The random effects of response frequency on the positive impact of AI on medical education showed that ES = 82%, 95% CI: 51%-100%, p value < 0.001, which indicates a response frequency of 82% with a significant p value.
Conclusion To adequately prepare future medical professionals, there is an urgent need to integrate the teaching of AI into medical curricula.
Methods A search of international databases such as PubMed, Web of Science, Scopus, Science Direct, Web of Knowledge, EBSCO, Wiley, ISI, Elsevier, Embase databases, and Google Scholar search engine was conducted based on the PRISMA 2020-27-item checklist and keywords related to the objectives of the study. The search covered the period from 2019 to February 18, 2024. The total number of articles retrieved from the database search was 668. After applying specific, predefined criteria, we selected a final set of five relevant studies from 43 potentially eligible articles. All statistical analyses were performed using STATA/MP software version 17, with a significance level of less than 0.05.
Results Five studies were selected according to the inclusion criteria. The random effects of response frequency on the positive impact of AI on medical education showed that ES = 82%, 95% CI: 51%-100%, p value < 0.001, which indicates a response frequency of 82% with a significant p value.
Conclusion To adequately prepare future medical professionals, there is an urgent need to integrate the teaching of AI into medical curricula.
Type of Study: Research |
Subject:
Advanced Sciences and Technologies in Public Health
Received: 2025/01/3 | Accepted: 2025/05/7 | Published: 2025/08/19
Received: 2025/01/3 | Accepted: 2025/05/7 | Published: 2025/08/19
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