Metaverse Technologies in Healthcare

1st Edition - July 11, 2024
Imprint: Academic Press
Editors: Rajesh Kumar Dhanaraj, Sristhi Vashishtha, Malathy Sathyamoorthy, Balamurugan Balusamy, Korhan Cengiz
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 5 6 5 - 1
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 5 6 6 - 8

Metaverse Technologies in Healthcare focuses on data analysis, utilizing the possibilities of data to increase the effectiveness of healthcare organizations. As healthcar… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Contributors
About the editors
Preface
Chapter 1. Metaverse: A vehicle in digital healthcare
1. Introduction
2. Significant metaverse healthcare technologies
3. Opportunities in healthcare metaverse
4. Metaverse's contributions to healthcare and patient care
5. Within the metaverse, remote assistance for critical patients
6. Primary effects of the metaverse on the healthcare industry
7. Benefits of metaverse in healthcare
8. Limitations of the metaverse in healthcare
9. Integration of healthcare in the metaverse: Challenges
10. Issues with security and privacy in the metaverse
Chapter 2. Human computer interactive applications based on metaverse for medical ecosystem
1. Introduction
2. Importance of HCI in healthcare
3. Review of present studies and research
4. Challenges and limitations
5. Conclusion
Chapter 3. Development of metaverse techniques during and post COVID-19 era
1. Introduction
2. Adoption of metaverse in the COVID-19 pandemic
3. Review of related works
4. Challenges and limitations of the survey
5. Conclusion
Chapter 4. Tools and applications for telesurgery in healthcare industry
1. Introduction to telesurgery
2. Importance and benefits of telesurgery in healthcare
3. Telecommunication infrastructure for telesurgery
4. Overview of robotic surgical systems
5. Teleoperated robotic surgery
6. Haptic feedback and tactile sensing in telesurgery
7. Advances in surgical robot design and capabilities
8. Imaging and visualization technologies
9. Role of imaging in telesurgery
10. 3D visualization and augmented reality
11. Real-time image transmission and processing
12. Integration of imaging modalities for teleoperation
13. Human–machine interfaces
14. Design considerations for telesurgical interfaces
15. Gesture recognition and motion tracking
16. Voice control and natural language processing
17. User experience and ergonomic considerations
18. Telesurgery applications
19. Minimally invasive procedures through telesurgery
20. Remote surgery in emergency and disaster situations
21. Telesurgery in rural and underserved areas
22. Collaborative telesurgery and teleproctoring
23. Training and education in telesurgery
24. Simulation and virtual reality training for telesurgery
25. Curriculum development for telesurgical education
26. Certification and credentialing in telesurgery
27. Continuing education and professional development
28. Challenges and future directions
29. Regulatory and legal considerations for telesurgery
30. Ethical implications of remote surgery
31. Integration of artificial intelligence in telesurgery
32. Future trends and potential advancements in telesurgical tools and applications
33. Virtual reality in telesurgery
34. Introduction to VR technology in healthcare
35. Advantages of incorporating VR into telesurgery
36. Immersive visualization and presence in VR surgeries
37. VR surgical planning and simulation
38. Telepresence and collaboration in VR surgeries
39. VR-assisted rehabilitation and patient education
40. Hand gesture processing and control in telesurgery
41. Importance of hand gesture control in telesurgery
42. Hand gesture recognition techniques
43. Integration of hand gesture control in surgical robotics
44. Advantages and limitations of hand gesture control
45. Latency reduction in telesurgery
46. Understanding latency and its impact on telesurgical procedures
47. Techniques for latency reduction
48. Network optimization and QoS considerations
49. Future directions for further latency reduction
50. Haptic feedback in telesurgery
51. Importance of haptic feedback in surgical procedures
52. Haptic feedback technologies and systems
53. Challenges and solutions for haptic feedback in telesurgery
54. Integration of haptic feedback in robotic surgical systems
55. Integration of virtual reality, robotics, and augmented reality in telesurgery
56. Synergies between VR, robotics, and AR in telesurgical applications
57. Enhanced surgical visualization and navigation with AR
58. Integration of robotic systems and VR/AR technologies
59. Advancements in telesurgical systems enabled by VR, robotics, and AR
60. Advantages and disadvantages of telesurgery
61. Advantages of telesurgery in healthcare
62. Limitations and challenges of telesurgery
63. Ethical considerations and patient safety in telesurgery
64. Conclusion
Chapter 5. Artificial intelligence-based augmented reality and virtual reality models for healthcare industry
1. Introduction
2. AR/VR in medical education and clinical care
3. AR/VR in various medical fields
4. Discussion
5. Conclusion
Chapter 6. Blockchain strategies for medicine and health science
1. Introduction
2. Blockchain in healthcare
3. Blockchain for health record maintenance
4. Blockchain for medical supply chain management
5. Blockchain for medical credentialing
6. Blockchain in genomic market
7. Conclusion
Chapter 7. Machine learning based models for implementing digital twins in healthcare industry
1. Introduction
2. Digital twin
3. Artificial intelligence, machine learning, and deep learning
4. The healthcare sector
5. Digital twins in healthcare industry
6. Machine learning–based models for implementing digital twins in healthcare industry
7. Current research challenges in ML-based models for implementing digital twins in healthcare industry
8. Conclusion and future scope
Chapter 8. A new paradigm in smart healthcare: Metaverse methodologies for prevention of obesity and chronic diseases
1. Introduction
2. Techniques used for the prevention and treatment of obesity and chronic diseases
3. Obesity and chronic disease monitoring and management: Case studies
4. Conclusion
Chapter 9. Metaverse technology-based enhanced machine learning models for mental healthcare
1. Introduction
2. Metaverse technology
3. Metaverse technology-based ML framework for mental healthcare
4. ML in mental health prediction
5. Research directions
6. Conclusion
Chapter 10. Algorithms for developing virtual reality hospitals in healthcare industry
1. Introduction
2. Virtual hospitals for health services
3. Analysis of related works
4. Advantages, challenges, and limitations of virtual hospitals
5. Conclusion
Chapter 11. Gamification applications based on metaverse for healthcare industry
1. Introduction
2. Why gamification in healthcare?
3. Analysis of existing research works
4. Challenges and limitations
5. Conclusion
Chapter 12. Awareness of legal and ethical issues in healthcare: A metaverse perspective
1. Introduction
2. Legal and ethical issues in healthcare
3. Legal implications on metaverse
4. Existing health informatics—Related laws
5. Code of ethics and standards
6. Privacy and data protection
7. Informed consent
8. Equity and accessibility
9. Misinformation and ethics of content
10. Virtual identities and self-government
11. Intellectual property and licensing
12. Quality and safety in healthcare
13. Cost of virtual healthcare service
14. Geographical reach
15. Conclusion
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
1. Introduction
2. Generating dataset
3. Related works
4. Problem statement
5. Objectives
6. Methodology
7. Results and analysis
8. Conclusion and future work
Index

Rajesh Kumar Dhanaraj

Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing).

Affiliations and expertise

Professor, Symbiosis International (Deemed University), Pune, India

Sristhi Vashishtha

Dr. Srishti Vashishtha is currently working at Bharti Vidyapeeth’s College of Engineering, GGIPU as an Assistant Professor in the CSE Department. She received her Ph.D. degree in Sentiment Analysis and Social Media domain from Delhi Technological University. She has received the B.Tech. degree in information technology from the Maharaja Surajmal Institute of Technology, GGSIPU, New Delhi, India, and the M.Tech. degree in Computer Science from the University School of Information, Communication, and Technology, GGSIPU. Her current area of interest includes Machine Learning, Deep Learning, Data Mining, Natural language Processing, Sentiment Analysis, Speech Emotion Recognition, and Fuzzy logic. She has about 7+ years of teaching experience in esteemed institutions. Qualified GATE and UGC-NET. Published 10 research papers in Peer-reviewed/ Scopus/Web of Science indexed international journals, among which 6 are SCIE and 8 IEEE/ Springer international conferences. Dr. Srishti has a current h-index: of 8. She is a reviewer in various SCIE and Peer-reviewed journals. Dr. Srishti has received DTU Research Excellence awards for commendable research 4 times consecutively in the years 2020- 2023. She has delivered many sessions on Machine Learning and Computer vision at various institutes.

Affiliations and expertise

Assistant Professor, Department of CSE, Bharati Vidhyapeeth’s College of Engineering, GGSIPU, Delhi, India

Malathy Sathyamoorthy

Dr. Malathy holds a PhD in Information and Communication Engineering from Anna University, Chennai, India. Her research areas include wireless sensor networks, Internet of Things, and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer, CRC Press, and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences.

Affiliations and expertise

Assistant Professor, Department of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India

Balamurugan Balusamy

Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor, Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, block chain, and data sciences.

Affiliations and expertise

Shiv Nadar University, Delhi-NCR, India

Korhan Cengiz

Assoc. Prof. Dr. Korhan Cengiz was born in Edirne, Turkey, in 1986. He received the BSc degrees in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey in 2008 and 2009 respectively. He took his MSc degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and the PhD degree in Electronics Engineering from Kadir Has University, Turkey in 2016. Since March 2023, He has been a Senior Researcher in the department of Information Technologies, University of Hradec Kralove, Kralove, Czech Republic. Since September 2022, He has been an Associate Professor in the department of Computer Engineering, Istinye University, Istanbul, Turkey. Since April 2022, he has been the chair of the research committee of University of Fujairah, United Arab Emirates. Since August 2021, he has been an Assistant Professor at the College of Information Technology in University of Fujairah, UAE. Dr. Cengiz is the author of more than 40 SCI / SCI-E articles including IEEE Internet of Things Journal, IEEE Access, Expert Systems with Applications, Knowledge Based Systems and ACM Transactions on Sensor Networks, 5 international patents, more than 10 book chapters, and 1 book in Turkish. He is editor of more than 20 books. His research interests include wireless sensor networks, wireless communications, statistical signal processing, indoor positioning systems, internet of things, power electronics and 5G. He is the Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Potentials Magazine, Handling Editor of Microprocessors and Microsystems, Elsevier, Associate Editor of IET Electronics Letters, and IET Networks. He serves several reviewer positions for IEEE Internet of Things Journal, IEEE Sensors Journal and IEEE Access. He serves several book editor positions in IEEE, Springer, Elsevier, Wiley and CRC. He presented 40+ keynote talks in reputed IEEE and Springer Conferences about WSNs, IoT and 5G. He is Senior Member, IEEE and Professional Member of ACM. Dr. Cengiz’ s awards and honors include the Tubitak Priority Areas PhD Scholarship, the Kadir Has University PhD Student Scholarship, best presentation award in ICAT 2016 Conference and best paper award in ICAT 2018 Conference.

Affiliations and expertise

University Research Committee Chair, University of Fujairah, United Arab Emirates

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Metaverse Technologies in Healthcare

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Rajesh Kumar Dhanaraj

Sristhi Vashishtha

Malathy Sathyamoorthy

Balamurugan Balusamy

Korhan Cengiz

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