Smart Hospital Technologies
Advanced Sensors Driving Patient Care Innovations
Series: Advance Sensors and Emerging Technologies for Smart Healthcare Services;
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 20 October 2026
- ISBN 9781041326588
- Binding Hardback
- No. of pages342 pages
- Size 234x156 mm
- Language English
- Illustrations 60 Illustrations, black & white; 7 Halftones, black & white; 53 Line drawings, black & white; 47 Tables, black & white 700
Categories
Short description:
Smart Hospital Technologies: Advanced Sensors Driving Patient Care Innovations presents a comprehensive exploration of next-generation healthcare systems driven by advanced sensors, artificial intelligence, IoMT, cloud?edge computing, and Healthcare 5.0 paradigms.
MoreLong description:
Smart Hospital Technologies: Advanced Sensors Driving Patient Care Innovations presents a comprehensive exploration of next-generation healthcare systems driven by advanced sensors, artificial intelligence, IoMT, cloud?edge computing, and Healthcare 5.0 paradigms. This edited volume brings together contributions from global researchers and healthcare experts to examine intelligent patient monitoring, wearable and IoT/implantable sensors, cybersecurity, explainable AI, digital twins, and smart clinical decision-making. By integrating theoretical foundations, enabling technologies, and real-world healthcare applications, the book highlights how sensor-enabled innovations are transforming hospitals into intelligent, connected, and patient-centric ecosystems. The volume serves as a valuable reference for researchers, practitioners, academicians, and healthcare technology professionals.
MoreTable of Contents:
Preface to the Series. Preface. Section 1 Basic and Fundamentals 1. Healing with Intelligence: A Human-Centric and Sustainable IoMT Framework for Healthcare 5.0. 2. Challenges of Cybersecurity in Intelligent Health Systems. 3. MedX: Transforming Healthcare Through Technology-Decision Making. 4. Explainable AI for Clinicians: Bridging the Trust Gap in Smart Healthcare. Section 2 Methods and Principles 5. Heart Disease Prediction Using Machine Learning. 6. The Cloud?Edge Continuum for Scalable and Responsive Healthcare Delivery. 7. Data Privacy and Ethical Considerations in Quantum Healthcare. 8. Healthcare IoT Architecture for Sensor-Driven Patient Care. Section 3 Applications and Use Cases 9. Models, Architectures, and Uses of IoT and Machine Learning in Stroke Care. 10. Wearable and Implantable Sensors for Real-Time Health Tracking. 11. Privacy by Design in Digital Twin Ecosystem. 12. AI and Deep Learning in Drug Discovery. Section 4 Challenges and Opportunities 13. Towards Smarter Healthcare: Trends in Quantum Computing, Data Fusion, and Edge AI. 14. Applications of AI in Clinical Biochemistry Laboratories: A Review. 15. Automated Patient Monitoring and Decision Support in Intensive Care Units (ICUs). 16. Infrastructure and Integration of the Internet of Medical Things (IoMT). 17. Applications of Healthcare 5.0 in the Context of Industry 5.0: Background, Vision, and Scope. Index. About the Editors.
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