AI in Medical Image Diagnosis: Real - World Insights and Breakthroughs

Abstract

This paper presents a comprehensive overview of the application of artificial intelligence (AI) in medical image diagnosis, highlighting real-world insights and recent breakthroughs. We examine how AI technologies, particularly deep learning and computer vision, are revolutionizing diagnostic accuracy, efficiency, and accessibility across various medical fields such as radiology, oncology, and cardiology. The paper also discusses practical challenges faced during clinical implementation, including data quality, interpretability, regulatory concerns, and integration with existing workflows. Through case studies and emerging trends, we demonstrate how AI-powered diagnostic systems are moving from experimental settings into routine clinical practice, ultimately enhancing patient outcomes and reshaping the future of healthcare.