Artificial Intelligence in Radiology: Revolutionizing Disease Detection

Abstract

The first chapter explores Radiology as a department of pharmaceuticals that relies considerably on medical imaging techniques such as X-rays, CT scans, magnetic resonance imaging, as well as ultrasounds. It has also explained incorporation of AI in radiography commitments improved the detection of maladies, but its performance is fraught with problems regarding data aloneness, system trustworthiness, and harmony to ordinances. The second chapter discusses the Literature Review this section evaluates current AI Technologies in Radiology as well as implements data Acquisition and Management Strategies. It has also explained the Explore Integration of AI Tools into Clinical Radiology Workflow along with Assessing the Clinical Validity of AI-Assisted Radiological Diagnosis.