AI in Personalized Healthcare: Revolutionizing Disease Prediction and Treatment

Abstract

AI-driven healthcare solutions are enabling personalized medicine by analyzing vast amounts of patient data for early disease detection and treatment recommendations. This paper explores AI techniques such as deep learning, federated learning, and reinforcement learning for diagnosing diseases like cancer, diabetes, and cardiovascular conditions. Challenges such as data privacy, algorithmic bias, and regulatory compliance are discussed. Case studies highlight AI-powered healthcare systems, demonstrating improved patient outcomes and reduced healthcare costs.