AI and Data Science in Healthcare 5.0

Erscheinungsjahr 2026
ISBN: 978-0-443-36556-0
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 308 Seiten, Format (B × H): 190 mm x 235 mm, Gewicht: 636 g

Reihe: Medical Robots and Devices: New Developments and Advances

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.

Autoren/Hrsg.

Boubaker, Olfa

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

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

Über Autor(innen)

Boubaker, Olfa
Olfa Boubaker is a Full Professor at the National Institute of Applied Sciences and Technology (INSAT) at the University of Carthage, Tunisia. Her research spans control theory, nonlinear systems, and robotics, with a focus on healthcare applications and human-centered technologies. She received her PhD in Electrical Engineering from the National Engineering School of Tunis (ENIT) and Habilitation Universitaire degree in Control Engineering from the National Engineering School of Sfax (ENIS), in Tunisia. Professor Boubaker leads interdisciplinary research projects at the interface of medicine and technology and serves as Series Editor of Medical Robots and Devices: New Developments and Advances. She has authored over 150 peer-reviewed papers and several books, and is an Associate Editor for Robotica and the International Journal of Advanced Robotic Systems. She also contributes to various scientific journals and mentors numerous engineering graduates.