Artificial Intelligence-Based Smart Healthcare Systems New Standards, Technologies and Communication Systems |
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| Editor:
| Qureshi, Kashif Naseer
Newe, Thomas
Jeon, Gwanggil |
| ISBN: | 978-0-443-26477-1 |
| Publication Date: | Jan 2025 |
| Publisher: | Elsevier Science & Technology Books
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| Imprint: | Academic Press |
| Book Format: | Ebook |
| List Price: | USD $160.00USD $192.00 |
Book Description:
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"Artificial Intelligence-based Smart Healthcare Systems" discusses the integration of Artificial Intelligence (AI) into healthcare systems, highlighting various aspects, challenges, and solutions related to this emerging field. This book emphasizes the emergence of AI as an integral part of healthcare systems, where AI technologies are utilized to enhance various aspects of healthcare, including diagnostics, treatment, patient care, research, and administrative tasks. These AI-powered...
More Description"Artificial Intelligence-based Smart Healthcare Systems" discusses the integration of Artificial Intelligence (AI) into healthcare systems, highlighting various aspects, challenges, and solutions related to this emerging field. This book emphasizes the emergence of AI as an integral part of healthcare systems, where AI technologies are utilized to enhance various aspects of healthcare, including diagnostics, treatment, patient care, research, and administrative tasks. These AI-powered networks are designed with intelligent technologies, architectures, and complex topologies to improve data communication, sensing, and monitoring capabilities. It also elaborates on the applications of AI in smart healthcare systems, including patient monitoring, medical image analysis, human pose estimation, speech recognition, and disease diagnosis. AI applications are depicted as tools that enhance patient care, streamline administrative processes, and drive medical research. It discusses the architectural frameworks employed in smart healthcare systems, such as software-defined networks, cloud, edge-based architectures, and mobility-based architectures. The need for scalable, flexible, energy-efficient, and interoperable architectures to accommodate AI integration is highlighted. Additionally, the importance of standards and policies in AI-based healthcare networks is emphasized, considering the unique challenges and requirements of this domain. It presents AI's growing role in healthcare, the applications it enables, the architectural considerations, and the need for robust security, privacy, and standards within the evolving landscape of AI-based healthcare systems.
* 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