EXPLORATION OF MEDICAL EDUCATION REFORM IN CHINA UNDER THE INFLUENCE OF ARTIFICIAL INTELLIGENCE
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In order to explore the path of artificial intelligence integration into new medical discipline education and the law of core hotspot clustering and evolution, this article takes CNKI as the data source to retrieve relevant thematic literature from 2016 to 2026, and finally includes 106 articles. CiteSpace 6.4.R1 is used to analyze the publication volume, cooperation networks, keyword co-occurrence, clustering and burst detection. The study found that the integration of AI and medical education in China is divided into three stages: policy response , teaching exploration and deep integration ; the hot spots focus on the three directions of talent training system reconstruction,digital intelligent teaching innovation and cutting-edge discipline intersection, giving rise to the “Medicine + X” course and personalized learning, forming a “medicine-education-industry-research” collaborative talent cultivation mode.AI has changed from an auxiliary tool to a transformative force, while the issues of technical reliability, data security and ethical governance remain prominent. It is recommended to incorporate AI literacy and ethics education into medical education, construct an evaluation and governance framework, and promote modular courses and cross-departmental collaboration. This article comes from a doctoral dissertation.
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