Booster of IoMT in Diagnostics and Disease Screening: Hustler artificial intelligence approaches transforming healthier homes

Bhupinder Singh, Christian Kaunert, Hind Hammouch, Anjali Raghav

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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 languageEnglish
Title of host publicationConvergence of Internet of Medical Things (IoMT) and Generative AI
EditorsV. Vinoth Kumar, Polinpapilinho F. Katina, Jingyuan Zhao
PublisherIGI Global
Chapter10
Pages243-266
Number of pages24
ISBN (Electronic)9798369361818
ISBN (Print)9798369361801 , 9798369361849
DOIs
Publication statusPublished - 17 Jan 2025

Publication series

NameAdvances in Healthcare Information Systems and Administration
PublisherIGI Global
ISSN (Print)2328-1243

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