AI in Radiology: Enhancing Diagnostic Accuracy and Efficiency

Abstract

AI is revolutionizing radiology by enabling faster and more accurate interpretation of medical images. This paper reviews the applications of AI in detecting abnormalities in X-rays, MRIs, CT scans, and mammograms. It discusses the integration of deep learning algorithms in automating routine tasks and assisting radiologists in complex cases. The paper also addresses the challenges of ensuring algorithm transparency, handling false positives/negatives, and maintaining clinician trust in AI systems.