Metaverse Technologies in Healthcare focuses on data analysis, utilizing the possibilities of data to increase the effectiveness of healthcare organizations. As healthcare services aim to maintain the physical, mental, social and emotional well-being of human lives while the Metaverse is a blend of technological trends- Artificial Intelligence (AI), Augmented Reality (AR) and Virtual Reality (VR), collectively, they can deliver treatments and medicines, lower costs, and substantially enhance patient outcomes. The book redefines the digital health experience and describes the advantages of the Metaverse-based NFT technology in the healthcare sector, facilitating NFT avatars to interact with targeted audiences, and more.
1. Metaverse Technologies in Healthcare - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Contributors - p. Page iv 7. About the editors - p. Page vi 8. Preface - p. Page x 9. List of Illustrations - p. Page xi 10. List of Tables - p. Page xii 11. Chapter 1 : Metaverse: A vehicle in digital healthcare - p. Page xii 12. Chapter 2 : Human computer interactive applications based on metaverse for medical ecosystem - p. Page 14 13. Chapter 3 : Development of metaverse techniques during and post COVID-19 era - p. Page 26 14. Chapter 4 : Tools and applications for telesurgery in healthcare industry - p. Page 42 15. Chapter 5 : Artificial intelligence-based augmented reality and virtual reality models for healthcare industry - p. Page 83 16. Chapter 6 : Blockchain strategies for medicine and health science - p. Page 99 17. Chapter 7 : Machine learning based models for implementing digital twins in healthcare industry - p. Page 131 18. Chapter 8 : A new paradigm in smart healthcare: Metaverse methodologies for prevention of obesity and chronic diseases - p. Page 159 19. Chapter 9 : Metaverse technology-based enhanced machine learning models for mental healthcare - p. Page 186 20. Chapter 10 : Algorithms for developing virtual reality hospitals in healthcare industry - p. Page 212 21. Chapter 11 : Gamification applications based on metaverse for healthcare industry - p. Page 230 22. Chapter 12 : Awareness of legal and ethical issues in healthcare: A metaverse perspective - p. Page 243 23. Chapter 13 : Real-time detection of signs using a deep learning approach based on convolutional neural networks and recurrent neural networks with a use case in metaverse - p. Page 260 24. Index - p. Page 281
Metaverse Technologies in Healthcare focuses on data analysis, utilizing the possibilities of data to increase the effectiveness of healthcare organizations. As healthcare services aim to maintain the physical, mental, social and emotional well-being of human lives while the Metaverse is a blend of technological trends- Artificial Intelligence (AI), Augmented Reality (AR) and Virtual Reality (VR), collectively, they can deliver treatments and medicines, lower costs, and substantially enhance patient outcomes. The book redefines the digital health experience and describes the advantages of the Metaverse-based NFT technology in the healthcare sector, facilitating NFT avatars to interact with targeted audiences, and more.
1. Metaverse Technologies in Healthcare - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Contributors - p. Page iv 7. About the editors - p. Page vi 8. Preface - p. Page x 9. List of Illustrations - p. Page xi 10. List of Tables - p. Page xii 11. Chapter 1 : Metaverse: A vehicle in digital healthcare - p. Page xii 12. Chapter 2 : Human computer interactive applications based on metaverse for medical ecosystem - p. Page 14 13. Chapter 3 : Development of metaverse techniques during and post COVID-19 era - p. Page 26 14. Chapter 4 : Tools and applications for telesurgery in healthcare industry - p. Page 42 15. Chapter 5 : Artificial intelligence-based augmented reality and virtual reality models for healthcare industry - p. Page 83 16. Chapter 6 : Blockchain strategies for medicine and health science - p. Page 99 17. Chapter 7 : Machine learning based models for implementing digital twins in healthcare industry - p. Page 131 18. Chapter 8 : A new paradigm in smart healthcare: Metaverse methodologies for prevention of obesity and chronic diseases - p. Page 159 19. Chapter 9 : Metaverse technology-based enhanced machine learning models for mental healthcare - p. Page 186 20. Chapter 10 : Algorithms for developing virtual reality hospitals in healthcare industry - p. Page 212 21. Chapter 11 : Gamification applications based on metaverse for healthcare industry - p. Page 230 22. Chapter 12 : Awareness of legal and ethical issues in healthcare: A metaverse perspective - p. Page 243 23. Chapter 13 : Real-time detection of signs using a deep learning approach based on convolutional neural networks and recurrent neural networks with a use case in metaverse - p. Page 260 24. Index - p. Page 281
