Suriyaraj Shanmugam Prema, Dhanraj Ganapathy, Deepankumar Shanmugamprema
ABSTRACT Artificial intelligence (AI) is revolutionizing the field of epidemiology, offering transformative capabilities in disease surveillance, predictive analytics, and precision public health. By harnessing vast datasets from electronic health records, genomic sequences, and real‐time mobility data, AI‐driven algorithms enable early detection of outbreaks, accurate disease modeling, and personalized intervention strategies. This paper explores the multifaceted applications of AI in epidemiology, highlighting its role in enhancing disease prediction, exposure assessment, and outcome classification. AI‐powered platforms have demonstrated their efficacy in identifying emerging infectious threats, including the early detection of COVID‐19 outbreaks. Additionally, AI‐driven simulations provide policymakers with actionable insights, optimizing resource allocation and evaluating the effectiveness of public health interventions. However, challenges related to data privacy, algorithmic bias, and model transparency remain significant barriers to widespread adoption. This paper emphasizes the need for robust regulatory frameworks and interdisciplinary collaboration to ensure the responsible deployment of AI technologies in public health. By balancing innovation with ethical considerations, AI has the potential to drive a new era of precision epidemiology, transforming how diseases are monitored, prevented, and controlled on a global scale. This article is categorized under: Application Areas > Health Care Commercial, Legal, and Ethical Issues > Ethical Considerations Technologies > Artificial Intelligence