Foreword: Vision and Motivation for Healthcare 5.0 Introduction: AI and Data Science Driving the Healthcare 5.0 Revolution Part 1. Foundations and Concepts of Healthcare 5.0 1. Healthcare 5.0: Foundations, Technologies, and the Future of Human-Centered Intelligent Health Systems Part 2. AI and Robotics in Surgery 2. Deep Learning-Based Autonomous Robotic Retinal Surgery 3. Robotic pancreatoduodenectomy Part 3. Core Technologies Enabling Healthcare 5.0 4. Federated Learning-based IoMT Networks for Improved Performance of Smart Health 5. A Review on Integration of IoT and Cloud for Real-time Data Analysis in Healthcare 6. Key Information Extraction from Medical Insurance Documents: A Comparative Study of OCR-Based and OCR-Free Techniques 7. A Record Management Policy in Healthcare 5.0 with Blockchain Technology and Machine Learning Part 4. Smart Hospitals and Connected Health Infrastructure 8. Greedy Algorithm for Optimizing Energy Consumption in Device-to-Device Communications in Medical Environment 9. Smart Sensors in a Smart Hospital 10. Blockchain-assisted framework for e-Healthcare IoT Applications 11. Navigating Challenges and Seizing Opportunities: Smart Healthcare Systems Integrating Fog Computing and IoT Part 5. Security, Emergency Systems, and Future Perspectives 12. Vehicle Emergency System for Medical Alerts 13. Conclusion: Shaping the Future of Healthcare 5.0

Offers an in-depth exploration of the latest innovations in Healthcare 5.0, highlighting the integration of smart medical robots, devices, and connected hospitals Presents comprehensive coverage of the integration of blockchain technology, IoT, and cloud computing in healthcare, highlighting real-time applications in precision healthcare and energy optimization in smart hospitals Discusses federated learning for IoMT networks, advanced patient monitoring systems, and an overview of future opportunities and challenges in Healthcare 5.0