Embodied artificial intelligence (EAI), as a crucial branch of artificial intelligence, is reshaping the technological logic and humanistic core of medical education. Currently, the application of EAI in medical education has demonstrated significant potential, offering innovative pathways to overcome the limitations of traditional practical resources, shorten skill transfer cycles, and construct new immersive learning paradigms. However, its development remains in the primary stage, facing three critical challenges: insufficient technological maturity and accessibility, a significant deficiency in the humanistic dimension, and relatively lagging evaluation mechanisms. Looking ahead, the deepened development of EAI in medical education urgently requires: constructing a ″technology-humanism″ dual-track driven framework, establishing a dynamic multi-dimensional evaluation system, and implementing long-term tracking mechanisms. By overcoming these challenges, EAI holds the potential to evolve from its current role as an auxiliary tool into a core force driving paradigm shifts in medical education. This will contribute to cultivating a new generation of healthcare professionals with exceptional clinical competence for the Healthy China Initiative.
Cheng Wenjie
,
Lyu Feng
,
Min Su
. The application and prospects of embodied artificial intelligence in medical education[J]. Chinese Journal of Medical Education, 2026
, 46(7)
: 509
-514
.
DOI: 10.3760/cma.j.cn115259-20250427-00476
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