Abstract

ARTIFICIAL INTELLIGENCE IN RADIOLOGY: REVOLUTIONIZING DIAGNOSTIC ACCURACY IN MEDICAL IMAGING

Sanaboina Harika Durga Sri*, Shaik Mufasera and Ponnuru Venkata Suresh

ABSTRACT

Artificial Intelligence has emerged as a transformative tool for radiology, improving its ability to interpret medical images with higher precision. This review looks at the role of AI in radiology through deep learning models and improving diagnostic outcomes on different imaging modalities like X-rays, CT scans, MRIs, and ultrasounds. We discuss the benefits of AI in improving diagnostic accuracy, minimizing human error, and optimizing workflow. We also discuss the challenges of AI adoption, such as data privacy concerns, algorithmic bias, and integration into clinical practice. Finally, we touch on the future of AI in radiology, with a focus on personalized medicine, AI-assisted decision-making, and the evolving role of radiologists in the AI-driven healthcare ecosystem.

Keywords: Artificial Intelligence, Radiology, Deep Learning, Medical Imaging, Convolutional Neural Networks.