erdEducation Reform and Development2652-53642652-5372Bio-Byword Scientific Publishing Pty. Ltd.10.26689/erd.v8i8.15232ArticleExploration of the Application of Knowledge Graphs in University Medical Education Under the Background of Artificial Intelligencehttps://artdesignp.com/journal/erd/8/8/10.26689/erd.v8i8.15232ShiSuisui,ShiXinyu,ZhangZhiwei2026882026-09-08The integration of artificial intelligence (AI) technology and the digitalization of higher education has provided new development directions for the optimization and upgrading of university medical education. Relying on structured semantic networks and visual presentation forms, knowledge graphs can adapt to the characteristics of medical education featuring a complex knowledge system, close internal correlations and strong practicality, and they demonstrate unique values in medical knowledge integration, expansion of teaching scenarios and optimization of learning modes. Based on the background of educational digitalization, this paper elaborates on the enabling effects of AI and knowledge graphs on university medical education, sorts out the standardized construction procedures of medical knowledge graphs, and discusses the practical application paths of knowledge graphs combined with teaching scenarios of basic medicine, clinical medicine and other courses. It is expected to provide useful references for the digital transformation of university medical education.Artificial intelligence, Knowledge graphs, University medical education, Educational digitalization

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