AI-Enhanced Healthcare: Leveraging Predictive Analytics for Disease Management

Abstract

This technical article explores the transformative impact of Artificial Intelligence (AI) in healthcare, focusing on its implementation, challenges, and ethical considerations. The article examines the architectural framework of healthcare predictive analytics systems, including data ingestion, processing, and analytics layers. It investigates the clinical applications across diagnostic enhancement and treatment optimization while addressing critical implementation challenges in data management and clinical integration. The article further delves into ethical considerations, particularly examining algorithmic bias, transparency requirements, and patient autonomy in AI-assisted healthcare settings. This article provides insights into AI integration in healthcare and its implications for future medical practices through extensive analysis of multiple healthcare facilities and research studies.