Medical Students' Perceptions of Integrating Generative Artificial Intelligence into Medical Education: A Meta-Synthesis Study

This meta-synthesis systematically reviews qualitative and mixed-methods studies on medical students' experiences, perceptions, and attitudes toward the use of generative artificial intelligence (GAI) as a learning aid, aiming to provide a foundation for the future development of GAI in medical education. According to the literature screening and quality evaluation, a total of 12 articles were included, from which 69 research results were extracted and categorized into 12 categories, culminating in four overarching results: clarified intention, contextualized application scenarios, enhanced intelligent-teaching collaborative strategy, and risk management. The findings reveal a general consensus among medical students recognizing the potential value of GAI in medical education. Future research should focus on achieving a balance between technological advancement, ethical considerations, and educational strategies. It is essential to develop teaching approaches aligned with the practical needs of medical education, verify their effectiveness, and to explore new models of medical education empowered by generative artificial intelligence.