AI-Based Clinical Decision Support Systems for Infectious Disease Management and Outbreak Prediction

Abstract

Infectious diseases continue to pose significant threats to public health worldwide, necessitating robust tools for their management and prediction. With the advent of artificial intelligence (AI), clinical decision support systems (CDSS) have emerged as potent tools in the battle against infectious diseases. This paper explores the role of AI-based CDSS in infectious disease management and outbreak prediction. It reviews the current state of AI applications in this domain, discusses their benefits, challenges, and future prospects, and emphasizes the need for continued research and development to enhance their effectiveness.