Exploring the path, challenges, and prospects of artificial intelligence in empowering human morphology curriculum construction

doi:10.3760/cma.j.cn115259-20250930-01223

Abstract

Abstract: As a fundamental discipline in medical education, human morphology faces multidimensional challenges in its traditional teaching models focusing on morphological structures and functional correlations during the digital era. Addressing the demand for intelligent transformation in medical education, this paper systematically explores the implementation pathways for empowering human morphology curriculum development with Artificial Intelligence (AI), encompassing both theoretical and laboratory instruction. It focuses on innovative applications in core teaching scenarios, including AI-powered smart course construction driven by knowledge graphs, the development of AI image recognition systems, and the integration of AI with virtual simulation experiments, while also envisioning their potential prospects. The research further conducts an in-depth analysis of critical issues such as technical adaptation bottlenecks, cognitive risks in practical applications, and synergistic mechanisms between intelligent technologies and conventional pedagogy. Targeted solutions are proposed to provide forward-looking and practical strategic insights for reforming human morphology education in the AI era.

Key words: Artificial intelligence, Human morphology, Medical education, Curriculum construction

CLC Number:

R-05

Wei Xiaofan, Wu Jianghua, Chi Xiaochun, Zhang Weiguang, Peng Yihong. Exploring the path, challenges, and prospects of artificial intelligence in empowering human morphology curriculum construction[J]. Chinese Journal of Medical Education, 2026, 46(1): 8-14.

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