Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases

TL;DR

This paper reviews how Artificial Intelligence enhances Horizon Scanning for infectious diseases by improving detection, analysis, and decision-making, while also addressing associated risks and governance strategies.

Contribution

It provides a comprehensive overview of AI applications in infectious disease horizon scanning, highlighting potential benefits, limitations, and strategies for effective implementation.

Findings

AI improves signal detection and data monitoring in infectious disease surveillance.

AI enhances scenario analysis and decision support for public health.

The review discusses risks and governance strategies for AI in health surveillance.

Abstract

This review explores the integration of Artificial Intelligence into Horizon Scanning, focusing on identifying and responding to emerging threats and opportunities linked to Infectious Diseases. We examine how AI tools can enhance signal detection, data monitoring, scenario analysis, and decision support. We also address the risks associated with AI adoption and propose strategies for effective implementation and governance. The findings contribute to the growing body of Foresight literature by demonstrating the potential and limitations of AI in Public Health preparedness.