Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866917124185784320 |
|---|---|
| author | Miles, Ian Wakimoto, Mayumi Meira Jr., Wagner Paula, Daniela Ticiane, Daylene Rosa, Bruno Biddulph, Jane Georgiou, Stelios Ermida, Valdir |
| author_facet | Miles, Ian Wakimoto, Mayumi Meira Jr., Wagner Paula, Daniela Ticiane, Daylene Rosa, Bruno Biddulph, Jane Georgiou, Stelios Ermida, Valdir |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_04287 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases Miles, Ian Wakimoto, Mayumi Meira Jr., Wagner Paula, Daniela Ticiane, Daylene Rosa, Bruno Biddulph, Jane Georgiou, Stelios Ermida, Valdir Artificial Intelligence Populations and Evolution 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. |
| title | Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases |
| topic | Artificial Intelligence Populations and Evolution |
| url | https://arxiv.org/abs/2512.04287 |