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Advanced Technologies in Healthcare : AI, Signal Processing, Digital Twins and 5G / [E-Book]

By:

Guo, Shuli [author.]

Contributor(s):

Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XVI, 170 p. 110 illus., 88 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789819995851

Subject(s):

Online resources:

Access resource

Contents:

Artificial Intelligence Technology -- Artificial Intelligence and Blockchain -- Medical Imaging Chapter -- Digital Twin Technology -- Cloud, Fog, and Edge Computing in 5G Chapter -- Standards Related to Smart Medicine.

Summary: This book explores the applications of cutting-edge technologies such as AI, blockchain, signal processing, digital twin technology, and 5G communication technology in healthcare. The writing style combines diagrams, tables, formulae, and text to enhance readability. The content combines theoretical analysis and medical application in every chapter. This book presents several innovative methods, including an AI-based computer-aided diagnosis system, a blockchain-based AI system framework for healthcare, pre-processing algorithms for medical imaging, digital twin models for healthcare, a healthcare platform based on cloud, fog, and edge computing, and a personal health device domain information model. This book will be valuable for researchers, engineers, and post-graduate students in the fields of medicine management and software engineering.

Holdings
Item type	Home library	Class number	URL	Status	Date due	Barcode
Electronic book	Hillingdon Hospitals Library Services (Hillingdon Hospitals NHS Foundation) Online		Link to resource	Available

This book explores the applications of cutting-edge technologies such as AI, blockchain, signal processing, digital twin technology, and 5G communication technology in healthcare. The writing style combines diagrams, tables, formulae, and text to enhance readability. The content combines theoretical analysis and medical application in every chapter. This book presents several innovative methods, including an AI-based computer-aided diagnosis system, a blockchain-based AI system framework for healthcare, pre-processing algorithms for medical imaging, digital twin models for healthcare, a healthcare platform based on cloud, fog, and edge computing, and a personal health device domain information model. This book will be valuable for researchers, engineers, and post-graduate students in the fields of medicine management and software engineering.

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