人工智能技术在医学教育衔接中的应用OA

There are multi-dimensional connection dilemmas between secondary education and higher medical education,including the lack of early cultivation of medical literacy under the college entrance examination orientation,structural faults in the curriculum system,the absence of cross-stage teacher collaboration,and the fragmentation of evaluation systems.With the advent of the digital era,artificial intelligence(AI)technology has provided a brand-new approach to solving this problem.AI can effectively compensate for the deficien-cies in the connection of traditional medical education through mechanisms such as precise diagnosis of learning needs,intelligent con-struction of personalized connection learning paths,immersive early experience of virtual clinical scenarios,interactive teaching to pro-mote cross-stage knowledge transfer,and the construction of a cross-stage seamless evaluation system.However,issues such as data priva-cy,algorithmic bias,technical costs and regional disparities,professional limitations of AI systems,and academic integrity also pose nu-merous challenges to the application of AI technology.This paper innovatively proposes a three-stage AI medical education connection model of"Enlightenment-Transition-Deepening",and puts forward implementable innovative strategies around dimensions including light-weight AI medical enlightenment programs for resource-scarce areas,design of cross-stage AI competency tracking and evaluation tools,in-depth integration of AI technology with educational content,construction of ethics and data security guarantee systems,and cultivation of interdisciplinary talents.It aims to provide theoretical references and practical guidance for the digital transformation of medical educa-tion and the seamless connection between secondary and higher medical education.