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Descripción

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.

  • Provides comprehensive coverage of the concepts, themes, and tools in the field of medical robotics, IoT-based applications, edge computing, and artificial intelligence
  • Emphasizes the automation of robotic tasks to achieve a low-cost and secure operational environment
  • Focuses on the application of robotics in medical diagnosis and various medical fields, including rehabilitation, surgery, different diagnostic stages, and medical and surgical training

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xi 7. Chapter 1. A systematic review on autonomous and cognitive medical robots for acute care medicine - p. 1 8. Chapter 2. The ethical dilemmas of using robots with infants: Balancing research with safety and well-being - p. 23 9. Chapter 3. Advanced control methods for biomedical systems: Applications in robotics and medical diagnosis - p. 47 10. Chapter 4. Real-time classification of electromyography signals for robotics - p. 79 11. Chapter 5. Smart instrumented tools for surgery - p. 107 12. Chapter 6. Computational methods for biosignal processing: Modeling and control - p. 139 13. Chapter 7. Image-guided diagnosis and therapy: A comprehensive exploration - p. 165 14. Chapter 8. The future of remote surgery: Advancements in haptic teleoperation technology - p. 203 15. Chapter 9. Robotic security and crimes: Safeguarding medical robotics in healthcare - p. 227 16. Chapter 10. Ensuring safety in rehabilitation and assistive robotics: A comprehensive exploration - p. 253 17. Chapter 11. Artificial intelligence and robotics in renovating health systems: Cataloging of robotics data using machine learning in healthcare - p. 283 18. Chapter 12. The role of teleoperation systems and haptic technologies in medical applications - p. 305 19. Chapter 13. Use of explainable machine learning and interpretable artificial intelligence in medical robotics - p. 339 20. Index - p. 371

Descripcion
Descripción

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.

  • Provides comprehensive coverage of the concepts, themes, and tools in the field of medical robotics, IoT-based applications, edge computing, and artificial intelligence
  • Emphasizes the automation of robotic tasks to achieve a low-cost and secure operational environment
  • Focuses on the application of robotics in medical diagnosis and various medical fields, including rehabilitation, surgery, different diagnostic stages, and medical and surgical training

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xi 7. Chapter 1. A systematic review on autonomous and cognitive medical robots for acute care medicine - p. 1 8. Chapter 2. The ethical dilemmas of using robots with infants: Balancing research with safety and well-being - p. 23 9. Chapter 3. Advanced control methods for biomedical systems: Applications in robotics and medical diagnosis - p. 47 10. Chapter 4. Real-time classification of electromyography signals for robotics - p. 79 11. Chapter 5. Smart instrumented tools for surgery - p. 107 12. Chapter 6. Computational methods for biosignal processing: Modeling and control - p. 139 13. Chapter 7. Image-guided diagnosis and therapy: A comprehensive exploration - p. 165 14. Chapter 8. The future of remote surgery: Advancements in haptic teleoperation technology - p. 203 15. Chapter 9. Robotic security and crimes: Safeguarding medical robotics in healthcare - p. 227 16. Chapter 10. Ensuring safety in rehabilitation and assistive robotics: A comprehensive exploration - p. 253 17. Chapter 11. Artificial intelligence and robotics in renovating health systems: Cataloging of robotics data using machine learning in healthcare - p. 283 18. Chapter 12. The role of teleoperation systems and haptic technologies in medical applications - p. 305 19. Chapter 13. Use of explainable machine learning and interpretable artificial intelligence in medical robotics - p. 339 20. Index - p. 371

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