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.
1. Introduction: AI and Data Science Driving the Healthcare 5.0 Revolution - p. xv 2. Part 1: Foundations and concepts of healthcare 5.0 - p. P1 3. Chapter 1. Healthcare 5.0: foundations, technologies, and the future of human-centered intelligent health systems - p. 3 4. Part 2: AI and robotics in surgery - p. P37 5. Chapter 2. Deep learning-based autonomous robotic retinal surgery - p. 39 6. Chapter 3. Robotic pancreatoduodenectomy - p. 65 7. Part 3: Core technologies enabling healthcare 5.0 - p. P87 8. Chapter 4. Federated learning-based IoMT networks for improved performance of smart health - p. 89 9. Chapter 5. A review on integration of internet of things and cloud for real-time data analysis in healthcare - p. 121 10. Chapter 6. Key information extraction from medical insurance documents: a comparative study of optical character recognition-based and optical character recognition-free techniques - p. 145 11. Chapter 7. A record management policy in Healthcare 5.0 with Blockchain technology and machine learning - p. 161 12. Part 4: Smart hospitals and connected health infrastructure - p. P181 13. Chapter 8. Greedy algorithm for optimizing energy consumption in device-to-device communications in a medical environment - p. 183 14. Chapter 9. Smart sensors in a smart hospital - p. 197 15. Chapter 10. Blockchain-assisted framework for e-healthcare internet of things applications - p. 221 16. Chapter 11. Navigating challenges and seizing opportunities: smart healthcare systems integrating fog computing and internet of things - p. 239 17. Part 5: Security, emergency systems, and future perspectives - p. P259 18. Chapter 12. Vehicle emergency system for medical alerts - p. 261 19. Chapter 13. Conclusion: shaping the future of Healthcare 5.0 - p. 283 20. Index - p. 285
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.
1. Introduction: AI and Data Science Driving the Healthcare 5.0 Revolution - p. xv 2. Part 1: Foundations and concepts of healthcare 5.0 - p. P1 3. Chapter 1. Healthcare 5.0: foundations, technologies, and the future of human-centered intelligent health systems - p. 3 4. Part 2: AI and robotics in surgery - p. P37 5. Chapter 2. Deep learning-based autonomous robotic retinal surgery - p. 39 6. Chapter 3. Robotic pancreatoduodenectomy - p. 65 7. Part 3: Core technologies enabling healthcare 5.0 - p. P87 8. Chapter 4. Federated learning-based IoMT networks for improved performance of smart health - p. 89 9. Chapter 5. A review on integration of internet of things and cloud for real-time data analysis in healthcare - p. 121 10. Chapter 6. Key information extraction from medical insurance documents: a comparative study of optical character recognition-based and optical character recognition-free techniques - p. 145 11. Chapter 7. A record management policy in Healthcare 5.0 with Blockchain technology and machine learning - p. 161 12. Part 4: Smart hospitals and connected health infrastructure - p. P181 13. Chapter 8. Greedy algorithm for optimizing energy consumption in device-to-device communications in a medical environment - p. 183 14. Chapter 9. Smart sensors in a smart hospital - p. 197 15. Chapter 10. Blockchain-assisted framework for e-healthcare internet of things applications - p. 221 16. Chapter 11. Navigating challenges and seizing opportunities: smart healthcare systems integrating fog computing and internet of things - p. 239 17. Part 5: Security, emergency systems, and future perspectives - p. P259 18. Chapter 12. Vehicle emergency system for medical alerts - p. 261 19. Chapter 13. Conclusion: shaping the future of Healthcare 5.0 - p. 283 20. Index - p. 285
