Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases

• URL: http://arxiv.org/abs/2512.04287v1
• Date: Wed, 03 Dec 2025 22:00:46 GMT
• Title: Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases
• Authors: Ian Miles, Mayumi Wakimoto, Wagner Meira, Daniela Paula, Daylene Ticiane, Bruno Rosa, Jane Biddulph, Stelios Georgiou, Valdir Ermida,
• Abstract summary: This review focuses on identifying and responding to emerging threats and opportunities linked to Infectious Diseases.<n>We examine how AI tools can enhance signal detection, data monitoring, scenario analysis, and decision support.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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