AI-Powered Developments in Medical Robotics: Data-Driven Techniques for Enhanced Surgical Efficiency offers a comprehensive exploration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications. The book strikes a balance by addressing foundational principles, emerging technologies, and their practical implementation in real-world scenarios. It enhances its value through the inclusion of real-world case studies and interdisciplinary perspectives, making it relevant for professionals, researchers, and students alike. The book explores future developments, such as augmented and virtual reality in medical robotics, positioning itself as a forward-thinking resource.
By addressing current gaps in the field, including regulatory challenges, training needs, and cost-effectiveness, the book ensures a well-rounded approach that appeals to both advanced and emerging markets. This multifaceted perspective enriches the reader's understanding and equips them with actionable insights for navigating the complexities of AI-driven healthcare robotics. The book serves as a definitive reference for a global audience seeking innovation and practical solutions in the rapidly evolving landscape of medical technology, bridging the gap between theory and practice in a critical area of healthcare advancement.
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. List of contributors - p. xi 7. Part I: Fundamentals and innovations in medical robotics - p. P1 8. Chapter 1. Fundamentals of medical robotics - p. 3 9. Chapter 2. Artificial intelligence and data-driven innovations in medicine - p. 19 10. Part II: Regulatory, training, and adoption challenges - p. P45 11. Chapter 3. Regulatory requirements and clinical approval pathways for artificial intelligence-driven robotics - p. 47 12. Chapter 4. Training healthcare professionals for artificial intelligence-driven medical robotics - p. 87 13. Chapter 5. Strategies for clinical adoption of artificial intelligence-powered systems - p. 113 14. Part III: Advanced applications of AI in medical robotics - p. P137 15. Chapter 6. Blockchain for secure data sharing by integration with artificial intelligence driven robotics - p. 139 16. Chapter 7. Image-guided surgery and artificial intelligence algorithms - p. 179 17. Chapter 8. Neurosurgery with artificial intelligence-assisted robotics - p. 221 18. Chapter 9. Cardiovascular robotics and artificial intelligence integration - p. 241 19. Chapter 10. Artificial intelligence for orthopedic surgery with robots - p. 265 20. Chapter 11. Augmented and virtual reality in medical robotics - p. 287 21. Chapter 12. Data analytics and artificial intelligence for surgical outcomes - p. 323 22. Part IV: Economic, social, and cost considerations - p. P343 23. Chapter 13. Cost-effectiveness analyses of artificial intelligence based medical robotics - p. 345 24. Chapter 14. Real-world case studies in artificial intelligence-driven medical robotics - p. 379 25. Part V: Challenges and future directions - p. P399 26. Chapter 15. Challenges in artificial intelligence driven robotic surgery - p. 401 27. Chapter 16. The road ahead: innovations and future trends in artificial intelligence medical robotics - p. 421 28. Index - p. 443
AI-Powered Developments in Medical Robotics: Data-Driven Techniques for Enhanced Surgical Efficiency offers a comprehensive exploration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications. The book strikes a balance by addressing foundational principles, emerging technologies, and their practical implementation in real-world scenarios. It enhances its value through the inclusion of real-world case studies and interdisciplinary perspectives, making it relevant for professionals, researchers, and students alike. The book explores future developments, such as augmented and virtual reality in medical robotics, positioning itself as a forward-thinking resource.
By addressing current gaps in the field, including regulatory challenges, training needs, and cost-effectiveness, the book ensures a well-rounded approach that appeals to both advanced and emerging markets. This multifaceted perspective enriches the reader's understanding and equips them with actionable insights for navigating the complexities of AI-driven healthcare robotics. The book serves as a definitive reference for a global audience seeking innovation and practical solutions in the rapidly evolving landscape of medical technology, bridging the gap between theory and practice in a critical area of healthcare advancement.
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. List of contributors - p. xi 7. Part I: Fundamentals and innovations in medical robotics - p. P1 8. Chapter 1. Fundamentals of medical robotics - p. 3 9. Chapter 2. Artificial intelligence and data-driven innovations in medicine - p. 19 10. Part II: Regulatory, training, and adoption challenges - p. P45 11. Chapter 3. Regulatory requirements and clinical approval pathways for artificial intelligence-driven robotics - p. 47 12. Chapter 4. Training healthcare professionals for artificial intelligence-driven medical robotics - p. 87 13. Chapter 5. Strategies for clinical adoption of artificial intelligence-powered systems - p. 113 14. Part III: Advanced applications of AI in medical robotics - p. P137 15. Chapter 6. Blockchain for secure data sharing by integration with artificial intelligence driven robotics - p. 139 16. Chapter 7. Image-guided surgery and artificial intelligence algorithms - p. 179 17. Chapter 8. Neurosurgery with artificial intelligence-assisted robotics - p. 221 18. Chapter 9. Cardiovascular robotics and artificial intelligence integration - p. 241 19. Chapter 10. Artificial intelligence for orthopedic surgery with robots - p. 265 20. Chapter 11. Augmented and virtual reality in medical robotics - p. 287 21. Chapter 12. Data analytics and artificial intelligence for surgical outcomes - p. 323 22. Part IV: Economic, social, and cost considerations - p. P343 23. Chapter 13. Cost-effectiveness analyses of artificial intelligence based medical robotics - p. 345 24. Chapter 14. Real-world case studies in artificial intelligence-driven medical robotics - p. 379 25. Part V: Challenges and future directions - p. P399 26. Chapter 15. Challenges in artificial intelligence driven robotic surgery - p. 401 27. Chapter 16. The road ahead: innovations and future trends in artificial intelligence medical robotics - p. 421 28. Index - p. 443
