Intelligent transformation of medical education: innovations and challenges driven by artiffcial intelligence and big data
Yajing Song
School of Nursing and Rehabilitation,Jinan,Shandong50014, China
Abstract: Medical education is undergoing a critical transition from traditional paradigms to intelligent and data-driven models. The deep integration of artiffcial intelligence (AI) and big data technologies is reshaping core components of medical training, including knowledge dissemination, clinical skill development, personalized learning pathway design,and clinical decision-mak-ingsupport. This article analyzes the empowering role of AI and big data in medical education while identifying emerging chal-lengessuch as data quality assurance, security risks, equity concerns,and legal compliance issues. Corresponding strategies are proposed to address these challenges through enhanced data governance,improved regulatory frameworks, accelerated techno-logicalinnovation,and comprehensive educator training programs.These recommendations aim to establish a robust foundation for cultivating medical professionals equipped to navigate the evolving landscape of intelligent healthcare education.
Keywords : Artiffcial Intelligence; Big Data; Medical Education; Empowerment
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