AI in Medical Imaging: Transformative Approaches to Diagnostics

Abstract

Artificial intelligence (AI) is revolutionizing medical imaging by enhancing diagnostic accuracy and efficiency. This paper reviews the latest AI techniques in imaging modalities such as MRI, CT scans, and X-rays. We explore case studies demonstrating AI's ability to detect abnormalities, including tumors and cardiovascular diseases, at earlier stages than traditional methods. The discussion includes the integration of AI into clinical workflows, addressing challenges such as data privacy, algorithm transparency, and the need for clinical validation. The paper concludes with future directions for AI in medical imaging, emphasizing its potential to significantly improve patient outcomes.