AI and Data Science in Healthcare 5.0
Series: Medical Robots and Devices: New Developments and Advances;
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Product details:
- Publisher Academic Press
- Date of Publication 23 January 2026
- ISBN 9780443365560
- Binding Paperback
- No. of pages308 pages
- Size 235x191 mm
- Weight 450 g
- Language English 700
Categories
Long description:
AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in modern healthcare, including advanced wearables enhanced by deep learning. The volume also addresses the integration of blockchain technology, IoT, and cloud computing in healthcare, emphasizing real-time applications in precision healthcare. The discussion extends to energy optimization in smart hospitals, federated learning for IoMT networks, and advanced patient monitoring systems.
The volume concludes with an overview of the future opportunities and challenges in 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
Table of Contents:
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
