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AI-Driven IoT (AIIoT) in Healthcare Monitoring

AI-Driven IoT (AIIoT) in Healthcare Monitoring

Kutubuddin Kazi
Copyright: © 2024 |Pages: 25
ISBN13: 9798369306390|ISBN13 Softcover: 9798369306437|EISBN13: 9798369306406
DOI: 10.4018/979-8-3693-0639-0.ch003
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MLA

Kazi, Kutubuddin. "AI-Driven IoT (AIIoT) in Healthcare Monitoring." Using Traditional Design Methods to Enhance AI-Driven Decision Making, edited by Tien V. T. Nguyen and Nhut T. M. Vo, IGI Global, 2024, pp. 77-101. https://doi.org/10.4018/979-8-3693-0639-0.ch003

APA

Kazi, K. (2024). AI-Driven IoT (AIIoT) in Healthcare Monitoring. In T. Nguyen & N. Vo (Eds.), Using Traditional Design Methods to Enhance AI-Driven Decision Making (pp. 77-101). IGI Global. https://doi.org/10.4018/979-8-3693-0639-0.ch003

Chicago

Kazi, Kutubuddin. "AI-Driven IoT (AIIoT) in Healthcare Monitoring." In Using Traditional Design Methods to Enhance AI-Driven Decision Making, edited by Tien V. T. Nguyen and Nhut T. M. Vo, 77-101. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-0639-0.ch003

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Abstract

This research provides a thorough yet concise review of the opportunities and challenges for utilizing AI and IoT in the healthcare sector. Also included are an outline of AI and IoT, their applicability, certain observations on recent developments, a look at what the future holds, and difficulties facing healthcare systems. The web of things has several uses in healthcare organizations, from remote monitoring to sophisticated sensors and medical device fusion. In any event, it can help professionals communicate ideas more effectively while keeping patients safe and sound. The internet of things (IoT) for human organisations can also assist in attaining responsibility and satisfaction by promising patients to collaborate further closely with medical professionals.

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