ARTIFICIAL INTELLIGENCE-BASED CLINICAL DECISION SUPPORT SYSTEMS FOR OPTIMIZING EARLY DISEASE DETECTION AND PERSONALIZED MEDICINE

Abstract

This article offers a thorough exploration of the application of artificial intelligence-based clinical decision support systems (AI-CDSS) for optimizing early disease detection and the advancement of personalized medicine. The text considers the mechanisms, advantages, and challenges of integrating AI technologies in healthcare. It also highlights current progress, evaluates the impact of AI-driven methods on clinical outcomes, discusses ethical implications, and projects future trends. Ultimately, this paper aims to demonstrate how AI-CDSS may transform the landscape of disease prediction, diagnostic accuracy, and individualized treatment strategies for the benefit of patient care.