AI-Driven Smart Healthcare

Powered by Hyperscale Computing and Next Generation Networks

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Éditeur :

Wiley-IEEE Press


Paru le : 2025-11-13



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Description

Reimagine the future of healthcare with a deep dive into hyperscale computing and distributed networks
In AI-Driven Smart Healthcare: Powered by Hyperscale Computing and Next Generation Networks, a team of distinguished researchers delivers an insightful and practical discussion of the healthcare applications of artificial intelligence and fog-enabled next-generation networks. The book provides practical insights and methodologies for the design, development, and deployment of these technologies throughout the healthcare industry.
Readers will explore key areas of recent advancement, including the Internet of Things, fog computing, artificial intelligence, machine learning, serverless computing, and blockchain in a way that allows them to assess the feasibility and scalability of a variety of technological healthcare solutions.
The book also includes: A thorough introduction to the integration of AI and fog computing into smart healthcare systemsComprehensive explorations of how these technologies enhance healthcare delivery, with examples like remote patient monitoring and advanced diagnostic modelsPractical discussions of the advantages, challenges, and potential solutions associated with AI and fog computingAn interdisciplinary focus for professionals working at the intersection of AI, machine learning, fog computing, and healthcare
Perfect for researchers, practitioners, and other healthcare stakeholders, AI-Driven Smart Healthcare will also benefit technologists, educators, hospital administrators, and other professionals with an interest in the application of the latest technologies to recurrent and significant issues in the field of healthcare.
Pages
352 pages
Collection
n.c
Parution
2025-11-13
Marque
Wiley-IEEE Press
EAN papier
9781394297030
EAN PDF
9781394297054

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
6226 Ko
Prix
126,78 €
EAN EPUB
9781394297047

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
11950 Ko
Prix
126,78 €

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