Smart Hospital Technologies

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.