Buch, Englisch, 342 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Advance Sensors and Emerging Technologies for Smart Healthcare Services
Advanced Sensors Driving Patient Care Innovations
Buch, Englisch, 342 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Advance Sensors and Emerging Technologies for Smart Healthcare Services
ISBN: 978-1-041-32658-8
Verlag: Taylor & Francis Ltd
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.
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.




