Application of artificial intelligence in medical education: A meta-ethnographic synthesis.

IF 3.3 2区教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES

Medical Teacher Pub Date : 2025-07-01 Epub Date: 2024-10-31 DOI:10.1080/0142159X.2024.2418936

Wei Li, Hai-Yan Shi, Xiao-Ling Chen, Jian-Zeng Lan, Attiq-Ur Rehman, Meng-Wei Ge, Lu-Ting Shen, Fei-Hong Hu, Yi-Jie Jia, Xiao-Min Li, Hong-Lin Chen

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引用次数: 0

Abstract

With the advancement of Artificial Intelligence (AI), it has had a profound impact on medical education. Understanding the advantages and issues of AI in medical education, providing guidance for educators, and overcoming challenges in the implementation process is particularly important.

The objective of this study is to explore the current state of AI applications in medical education.

A systematic search was conducted across databases such as PsycINFO, CINAHL, Scopus, PubMed, and Web of Science to identify relevant studies. The Critical Appraisal Skills Programme (CASP) was employed for the quality assessment of these studies, followed by thematic synthesis to analyze the themes from the included research.

Ultimately, 21 studies were identified, establishing four themes: (1) Shaping the Future: Current Trends in AI within Medical Education; (2) Advancing Medical Instruction: The Transformative Power of AI; (3) Navigating the Ethical Landscape of AI in Medical Education; (4) Fostering Synergy: Integrating Artificial Intelligence in Medical Curriculum.

Artificial intelligence's role in medical education, while not yet extensive, is impactful and promising. Despite challenges, including ethical concerns over privacy, responsibility, and humanistic care, future efforts should focus on integrating AI through targeted courses to improve educational quality.

查看原文本刊更多论文

人工智能在医学教育中的应用：元人种学综述。

随着人工智能（AI）的发展，它对医学教育产生了深远的影响。了解人工智能在医学教育中的优势和问题，为教育者提供指导，克服实施过程中的挑战尤为重要。本研究旨在探讨人工智能在医学教育中的应用现状。在对这些研究进行质量评估时采用了 "批判性评估技能计划"（CASP），随后进行了专题综合，以分析所纳入研究的主题。最终确定了 21 项研究，并确立了四个主题：（1）塑造未来：(1) 塑造未来：医学教育中人工智能的当前趋势；(2) 推进医学教学：人工智能在医学教育中的作用虽然还不广泛，但影响巨大，前景广阔。尽管存在挑战，包括对隐私、责任和人文关怀的伦理关注，但未来的工作重点应是通过有针对性的课程整合人工智能，以提高教育质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Medical Teacher 医学-卫生保健

CiteScore

7.80

自引率

8.50%

发文量

396

审稿时长

3-6 weeks

期刊介绍： Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.