Abstract
The global landscape of healthcare is witnessing a transformative shift with the integration of artificial intelligence (AI) in disease screening and pandemic outbreak management. Disease screening serves as a critical component of proactive healthcare, enabling early detection and intervention. Traditional screening methods, while effective, often face limitations in terms of scalability, speed, and accuracy. The emergence of AI has opened new avenues for enhancing disease screening processes, allowing for more efficient and precise identification of potential health threats. These technologies enable healthcare professionals to analyze vast datasets quickly and accurately, facilitating early diagnosis and intervention. This chapter explores the various dimensions of evolving role of AI in prioritizing disease screening and managing pandemic outbreaks, with a focus on innovative approaches for mass vaccine scattering. The evolving role of AI in prioritizing disease screening and pandemic outbreak management holds immense promise for the future of global healthcare.
| Original language | English |
|---|---|
| Title of host publication | Convergence of Internet of Medical Things (IoMT) and Generative AI |
| Editors | V. Vinoth Kumar, Polinpapilinho F. Katina, Jingyuan Zhao |
| Publisher | IGI Global |
| Chapter | 10 |
| Pages | 243-266 |
| Number of pages | 24 |
| ISBN (Electronic) | 9798369361818 |
| ISBN (Print) | 9798369361801 , 9798369361849 |
| DOIs | |
| Publication status | Published - 17 Jan 2025 |
Publication series
| Name | Advances in Healthcare Information Systems and Administration |
|---|---|
| Publisher | IGI Global |
| ISSN (Print) | 2328-1243 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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