Abstract

The integration of Artificial Intelligence (AI) and Big Data in healthcare has revolutionized disease prevention, offering unprecedented opportunities for early detection, personalized interventions, and predictive analytics. This article explores the synergistic potential of AI and Big Data in transforming healthcare systems, focusing on their applications in disease surveillance, risk prediction, precision medicine, and public health strategies. By leveraging vast datasets and advanced algorithms, healthcare providers can identify patterns, predict outbreaks, and implement targeted interventions to prevent diseases before they escalate. The article also discusses challenges such as data privacy, ethical concerns, and the need for interdisciplinary collaboration. Ultimately, the convergence of AI and Big Data holds immense promise for enhancing global health outcomes and creating a proactive approach to disease prevention.