Artificial intelligence (AI) is redefining medical education, bringing new dimensions of personalized learning, enhanced visualization and simulation-based clinical training to the forefront. Additionally, AI-powered simulations offer realistic, immersive training opportunities, preparing students for complex clinical situations and fostering interprofessional collaboration skills essential for modern healthcare. However, the integration of AI into medical education presents challenges, particularly around ethical considerations, skill atrophy due to overreliance and the exacerbation of the digital divide among educational institutions. Addressing these challenges demands a balanced approach that includes blended learning models, digital literacy and faculty development to ensure AI serves as a supplement to, rather than a replacement for, core medical competencies. As medical education evolves alongside AI, institutions must prioritize strategies that preserve human-centred skills while advancing technological innovation to prepare future healthcare professionals for an AI-enhanced landscape.
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