Improving Public Health by Novel Technology and Artificial Intelligence

Abstract

The integration of novel technologies and artificial intelligence (AI) into public health has revolutionized disease prevention, diagnosis, and treatment. AI-driven tools, including machine learning (ML), big data analytics, and the Internet of Medical Things (IoMT), enhance early disease detection, optimize healthcare delivery, and improve patient outcomes. This paper explores the transformative role of AI in public health, focusing on predictive analytics, personalized medicine, and automated diagnostics. A systematic review of existing literature highlights key advancements, while case studies demonstrate AI's effectiveness in managing infectious diseases, chronic conditions, and global health crises. The study also examines ethical concerns, data privacy issues, and regulatory challenges associated with AI adoption. By leveraging AI and emerging technologies, public health systems can achieve greater efficiency, accuracy, and accessibility, ultimately leading to improved population health outcomes.