This article explores the potential of AI in healthcare, focusing on how predictive analytics contribute to improved patient outcomes and preventive care. We examine how machine learning algorithms analyze patient data to identify patterns and correlations associated with specific diseases or health conditions. We discuss the benefits of AI-driven predictions, including early disease detection, tailored treatment approaches, and proactive risk management. Challenges concerning data privacy, security, and model bias are addressed, along with ethical considerations surrounding the use of AI in healthcare decision-making. Finally, we explore the future directions of AI-driven predictive analytics and its potential to revolutionize healthcare delivery, The healthcare landscape is undergoing a transformative shift with the integration of artificial intelligence (AI) and machine learning (ML) technologies. AI-driven predictive analytics emerges as a powerful tool, leveraging vast amounts of patient data to anticipate health risks, personalize treatment plans, and optimize resource allocation.