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Innovative Practices of Artificial Intelligence-Assisted Medical Education
DOI: https://doi.org/10.62381/H251B24
Author(s)
Shi Shaonan
Affiliation(s)
School of Marxism, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
Abstract
With the rapid integration of artificial intelligence (AI) technology and the medical field, AI-assisted medical education has become a key direction for the reform and innovation of global medical education. The purpose of this study is to explore the innovative practice modes of AI in medical education and their application value, so as to provide theoretical guidance and practical reference for optimizing medical education processes and improving training quality. This study adopts a mixed research method combining systematic literature review and multiple case studies. First, a comprehensive search is conducted in databases such as PubMed, Web of Science, and CNKI to sort out and analyze domestic and foreign literatures on AI-assisted medical education published in the past decade; then, in-depth case investigations are carried out on 6 medical colleges and universities that have carried out AI-assisted education practices, focusing on analyzing their application scenarios, technical paths and implementation effects. The results show that AI technology has formed innovative practices in medical education such as intelligent teaching evaluation, virtual simulation training, and personalized learning push, which can effectively improve students' learning efficiency and practical ability; however, there are still problems such as uneven technical application level, insufficient integration with curriculum systems, and potential ethical risks. The conclusion points out that AI-assisted medical education has broad development prospects, and it is necessary to construct a standardized and integrated application system to promote the high-quality development of medical education.
Keywords
Artificial Intelligence; Medical Education; Innovative Practice; AI-Assisted Teaching; Educational Technology
References
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