The role of artificial intelligence in early disease diagnostics

Abstract

This study analyzes the contribution of Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), to early disease detection. AI systems are shown to improve diagnostic accuracy by 15–25% compared to manual evaluation, particularly in radiology for early-stage lung and breast cancers, and significantly reduce diagnostic time. While ethical challenges like algorithmic bias and data privacy remain, integrating AI into clinical practice is viewed as a transformative step for preventive medicine, promising more precise and cost-effective tools and a significant reduction in mortality.