Artificial Intelligence in Early Disease Detection: A Paradigm Shift in Healthcare

Abstract

This paper explores the transformative potential of artificial intelligence (AI) in early disease detection. By integrating machine learning algorithms with vast datasets, AI can identify patterns and biomarkers that elude traditional diagnostic methods. We review current applications in oncology, cardiology, and neurology, demonstrating AI's ability to improve diagnostic accuracy, reduce costs, and enhance patient outcomes. The paper also discusses challenges, including data privacy and the need for robust clinical validation, proposing pathways to overcome these barriers and fully harness AI's capabilities in early disease detection.