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Opportunities and Challenges of AI-Driven Transformation in Medical Education
0
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5
Autoren
2025
Jahr
Abstract
The integration of artificial intelligence (AI) and digital technologies is reshaping the landscape of medical education. This chapter explores how AI enhances clinical reasoning, personalizes learning pathways, and supports the digital transformation of teaching and assessment. Drawing on a narrative review of recent literature, the chapter identifies both the opportunities and challenges associated with implementing AI in medical curricula. Particular attention is given to institutional resistance, ethical and data privacy concerns, infrastructural constraints, and the lack of faculty training. Recommendations are offered for educators, institutions, policymakers, and technology developers to facilitate responsible and effective adoption. By addressing these barriers and fostering collaboration across sectors, AI can serve as a powerful catalyst for innovation in medical education. The chapter concludes by emphasizing the need for ongoing investment, ethical oversight, and educator empowerment to ensure that AI contributes meaningfully to the development of future healthcare.
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