AI and Data Science in Healthcare 5.0

Erscheinungsjahr 2025
ISBN: 978-0-443-36556-0
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 191 mm x 235 mm

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

Inhaltsverzeichnis

Introduction to Healthcare 5.0

Part 1. Smart Medical Robotics and Devices
1. Medical and Healthcare Robotics in the Era of Healthcare 5.0
2. Robotic pancreatoduodenectomy
3. Innovative and Advanced Wearables in Contemporary Healthcare: Advancements
4. Smart Opto-Electronic Microscope: Lensless Digital Holographic Microscopy Enhanced by Deep Learning and Applications

Part 2. Smart Connected Hospitals
5. A Record Management Policy in Healthcare 5.0 with Blockchain Technology and Machine Learning
6. Real-Time Applications in Precision Healthcare
7. Smart Sensors in a Smart Hospital
8. Greedy Algorithm for Optimizing Energy Consumption in Device-to-Device Communications in Medical Environment
9. A Review on Integration of IoT and Cloud for Real-time Data Analysis in Healthcare
10. Federated Learning-based IoMT Networks for Improved Performance of Smart Health
11. IoT-Based Advanced Patient Monitoring System
12. Blockchain-assisted framework for e-Healthcare IoT Applications
13. Navigating Challenges and Seizing Opportunities: Smart Healthcare Systems Integrating Fog Computing and IoT
14. Vehicle Emergency System for alerts via Cloud and Mobile Notification
15. Conclusions and Future opportunities for Healthcare 5.0

Über Autor(innen)

Boubaker, Olfa
Pr. Olfa Boubaker is a full professor at the National Institute of Applied Sciences and Technology (INSAT) at the University of Carthage, Tunisia, where she specializes in control theory, nonlinear systems, and robotics. She holds a Ph.D. in Electrical Engineering from the National Engineering School of Tunis and a Habilitation Universitaire in Control Engineering from the National Engineering School of Sfax. Professor Boubaker has led numerous research projects in sustainable development, including medical robotics and green energy. She has authored over 150 peer-reviewed papers and several books, and she is the founder/editor of the book series Medical Robots and Devices. Additionally, she serves as an associate editor for the journal Robotica and the International Journal of Advanced Robotic Systems, contributing to various scientific journals and mentoring numerous engineering graduates.