Abstract

Artificial Intelligence (AI) has increasingly become a transformative force in radiology, promising enhanced diagnostic accuracy, streamlined workflows, and improved patient outcomes. This review explores the various applications of AI in radiology, the benefits it offers, and the challenges that accompany its integration into clinical practice. We aim to provide a comprehensive overview of current AI technologies in radiology, assess their impact on diagnostic performance, and discuss future directions for AI research in this field.