The integration of Artificial Intelligence (AI) in radiology is revolutionizing medical imaging and diagnostics. AI algorithms, particularly those based on machine learning and deep learning, are enhancing image interpretation, reducing diagnostic errors, and improving workflow efficiency. This paper reviews the current applications of AI in radiology, including image analysis, disease detection, and workflow management. It also explores future prospects and potential challenges associated with the implementation of AI in clinical practice.