Medical Robotics and Intelligent Healthcare Technologies
AI Applications to Improve Healthcare in Developing Countries
Series: Medical Robotics and Computer Assisted Surgery: AI-enhanced, Data-driven, and Evidence-based Approaches;
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78 928 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 October 2025
- ISBN 9780443247668
- Binding Paperback
- No. of pages500 pages
- Size 234x190 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Medical Robotics and Intelligent Healthcare Technologies: AI Applications to Improve Healthcare in Developing Countries is an essential reference for professionals and researchers in fields such as biomedical engineering, health informatics, bioelectronics, medical electronics, physiology, and robotics. This book presents the latest advancements in AI and machine learning-based robotics applications, enabling readers to quickly grasp effective methods and compare various approaches. Addressing critical research areas that directly impact human life and health fills a significant market gap, providing valuable insights into AI, deep learning, machine learning, and big data analytics methods as they relate to emerging robotics research models in the biomedical and healthcare domains.
It offers a comprehensive understanding of the concepts, themes, and tools in medical robotics, IoT-based applications, edge computing, and artificial intelligence. With a specific focus on developing countries, this book catalyzes healthcare progress by showcasing the potential of medical robotics and intelligent healthcare technologies. It aims to empower researchers and practitioners to harness these state-of-the-art technologies to improve healthcare systems worldwide.
Table of Contents:
1. Robotics for medical applications
2. Neurorobotics approach in the human infant.
3. Control methods in biomedical system
4. Real-time classification of electromyography signals for robotics
5. Computational methods and mathematics for Medical Robotics
6. Computational method in modelling and control with bio signal processing
7. Image-guided Diagnosis and Therapy
8. Smart instrumented tools for surgery
9. Rehabilitation Robotics System Development
10. Safety aspects in rehabilitation and assistive robotics
11. Classification of robotic data using Machine learning techniques
12. Tactile and sensor technologies in medical usage
13. Haptic and Teleoperation in Biomedicine
14. Usage of explainable machine learning and interpretable artificial intelligence in medical robotics
