Advanced Technologies in Healthcare : AI, Signal Processing, Digital Twins and 5G
Language: English
Published by Springer, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 149.33
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9789819995875
- Title
- Advanced Technologies in Healthcare : AI, Signal Processing, Digital Twins and 5G
- Author
- Yanan Guo
- Publisher
- Springer
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9819995876
- ISBN 13
- 9789819995875
- Item weight
- 295 grams
- Dimensions
- 235x155x11 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Shuli
Guo , the full Professor of the Beijing Institute of Technology, Beijing China.
Prof. Shuli
Guo was born in 1973 in Inner Mongolia, P.R. China. He received his Bachelor
Degree (1995), Master Degree (1998) from Inner Mongolia Normal University, and
his Ph.D. Degree from Peking University (2001). Dr. Guo worked as a
postdoctoral researcher from Jan. 2002 to Apr. 2004 at Tsinghua University, as
a researcher fellow from January 2008 to September 2008 at Akita Prefectural
University, and as a postdoctoral researcher from September 2008 to September
2009 at Oxford University.
Prof.Guo is
interested in the following fields such as classical control theory and
application, medical image processing, medical data analysis, typical chronic
disease analysis and remote medical monitoring. Recently, he has published
nearly 70 impactful papers, 3
monorgraphs, 34 authorized Chinese patents, 15 authorized software copyrights,
and he has published 3 Chinese national standards and handed in 9 Chinese
national standards/industrial standards for approval. Simultaneously, he
obtained one third prize for military medical achievements, one third prize of
science and technology of the Chinese Medical Association and one third prize
of Beijing Medical Science and Technology. More than 60 post-graduate students
from global have graduated, and he is the member of Chinese national technical
committee for professional standardization(2021-2026) and the head of China
geriatric disease standardized diagnosis and treatment society of
CAGG(2018-2023) ,and the chief expert of Chinese national key research and development
program(2017-2021).
"About the title" may belong to another edition of this title.
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