Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases
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Abstract (arXiv)
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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References · 6
- 2019Deep Learning for Audio Signal Processingcited by 92
- 2024A Complete Survey on LLM-based AI Chatbotscited by 71
- 2025Artificial Intelligence Index Report 2025cited by 64
- 2025Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Surveycited by 7
- 2024Evaluating Large Language Models for Public Health Classification and Extraction Taskscited by 6
- 2025"It makes you think": Provocations Help Restore Critical Thinking to AI-Assisted Knowledge Workcited by 4
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