The Role of Artificial Intelligence in Radiology: Automating Image Analysis for Faster Diagnoses

The integration of artificial intelligence (AI) into radiology has revolutionized the field by augmenting diagnostic accuracy and streamlining workflows. This paper examines AI’s capabilities in automating image analysis, reducing diagnostic errors, and alleviating the burden on radiologists in the face of increasing imaging volumes. Highlighting applications such as anomaly detection, segmentation, and classification, AI demonstrates its potential to improve efficiency and reliability across various imaging modalities. However, its adoption faces challenges including ethical concerns, legal implications, and the need for robust validation. This review emphasizes the necessity of collaboration among technology developers, healthcare professionals, and regulators to ensure the safe and effective deployment of AI in radiology. Keywords: Artificial Intelligence, Radiology, Medical Imaging, Image Analysis, Anomaly Detectio