This analysis shows the underutilization of AI in medical education and clinical practice, suggesting urgent integration is necessary.
Artificial Intelligence (AI) has transitioned from a futuristic concept to a present-day reality, actively transforming healthcare. Its applications range from interpreting complex radiology and pathology images to generating predictive models for patient outcomes 1. Despite its potential, AI remains underutilized across the three foundational pillars of medicine: education, research, and clinical practice. This disconnect between emerging technology and traditional medical structures is the gap we must urgently bridge.
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Raja et al. (2025) studied this question.
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