COMPUTER VISION IN MEDICAL IMAGING: AI ANALYZING DIAGNOSTIC SCANS

Abstract

This article explores computer vision in medical imaging and examines how artificial intelligence revolutionizes healthcare diagnostics. The article traverses the fundamental medical imaging technologies, the evolution of computer vision techniques, and their current clinical applications across mammography, retinal scanning, and digital pathology. It addresses critical technical challenges, including dataset limitations, interpretability concerns, and regulatory considerations that impact implementation. The discussion extends to emerging technological directions, clinical workflow integration strategies, and the transformative potential of personalized medicine through advanced image analysis. Throughout, the article emphasizes how AI-powered visual analysis is enhancing diagnostic accuracy, improving workflow efficiency, and enabling earlier disease detection, ultimately promising a future of more precise and individualized patient care.