Artificial Intelligence-Based Smart Healthcare Systems
Language: English
Published by Elsevier Inc Jul 2025, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 304.68
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Add to basketItem description from seller
Neuware - Artificial Intelligence-Based Smart Healthcare Systems: New Standards, Technologies, and Communication Systems delves into the transformative role of Artificial Intelligence (AI) in modern healthcare. The book sheds light on the integration of AI technologies into healthcare systems, significantly enhancing diagnostics, patient care, treatment, research, and administrative processes. It emphasizes AI's emergence as a crucial component of healthcare, where advanced AI-powered networks improve data communication, sensing, and monitoring capabilities, setting new standards for healthcare efficiency and accuracy.In addition to discussing AI's applications in patient monitoring, medical image analysis, human pose estimation, speech recognition, and disease diagnosis, the book explores architectural frameworks like software-defined networks, cloud and edge-based architectures, and mobility-based systems. It stresses the need for scalable, flexible, energy-efficient, and interoperable designs to support AI integration. Furthermore, the importance of robust security, privacy standards, and policies in AI-based healthcare systems is highlighted, considering the unique challenges and requirements of this domain.…
Seller Inventory # 9780443264764
- Title
- Artificial Intelligence-Based Smart Healthcare Systems
- Author
- Kashif Nasee Qureshi
- Publisher
- Elsevier Inc Jul 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443264767
- ISBN 13
- 9780443264764
- Item weight
- 547 grams
- Dimensions
- 235x191x17 mm
In addition to discussing AI's applications in patient monitoring, medical image analysis, human pose estimation, speech recognition, and disease diagnosis, the book explores architectural frameworks like software-defined networks, cloud and edge-based architectures, and mobility-based systems. It stresses the need for scalable, flexible, energy-efficient, and interoperable designs to support AI integration. Furthermore, the importance of robust security, privacy standards, and policies in AI-based healthcare systems is highlighted, considering the unique challenges and requirements of this domain.
- Covers the design of AI-powered predictive analytics which can be used to identify health issues and intervene at an early stage
- Addresses the critical issues of security and privacy concerning healthcare data and AI systems
- Delves into how AI technologies can be used to tailor healthcare services and treatment plans to individual patients
"Synopsis" may belong to another edition of this title.
About the Author
Professor Thomas Newe works in the Department of Electronic & Computer Engineering at The University of Limerick where he is a faculty member since 1994. Tom is a Principle and Funded Investigator in a number of national Research Centres. He is a board member of Cyber Ireland, an initiative which brings together Industry, Academia and Government to represent the needs of the Cyber Security Ecosystem in Ireland, and a founding member of CyberSkills, a HEA-HCI Pillar 3 initiative which aims to address the global shortage of cybersecurity professionals. He holds a B.Eng. in Computer Engineering, a Masters in Engineering in Security Protocol Design and a PhD in Formal Logics for Security Protocol Verification. His research interest includes many topics under the general areas of cyber security for Data, Networks, OT and Smart Collaborative Robotics. He has published in excess of 180 journal and conference papers and graduated many PhD students in these areas.
Gwanggil Jeon, PhD, is currently a Full Professor at Incheon National University, Incheon, Korea. He was previously a Visiting Professor at Sichuan University, China, Universitat Pompeu Fabra, Barcelona, Spain, Xinjiang University, China, King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand, and University of Burgundy, Dijon, France. Dr. Jeon is an IEEE Senior Member, an Associate Editor of Sustainable Cities and Society, IEEE Access, Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007, the ETRI Journal Paper Award in 2008, and Industry-Academic Merit Award by Ministry of SMEs and Startups of Korea Minister in 2020.
"About the title" may belong to another edition of this title.
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