Navigating the Intersection of AI and Public Health: Challenges and Opportunities

Abstract

This paper explores the intricate relationship be- tween artificial intelligence (AI) and public health, highlighting the transformative potential of AI technologies in addressing complex health challenges. This paper discusses various AI ap- plications, including predictive analytics, personalized medicine, and health data management, which enhance disease prevention and patient care. However, the integration of AI in public health also presents significant challenges, such as ethical concerns, data privacy, and the need for interdisciplinary collaboration. The paper aims to provide a comprehensive overview of these dynamics, emphasizing the importance of responsible AI deployment to improve health outcomes while mitigating risks. By examining case studies and current research, the paper offers insights into the future directions of AI in public health, advocating for policies that promote equitable access and effective utilization of AI resources.