Bridging the Gap: Integrating AI into Medical Education, Research, and Clinical Practice

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.