Search

Browse Subject Areas

For Authors

Submit a Proposal

Metaverse Technologies, Security and Applications for Healthcare

Edited by Ajay Kumar Vyas, Harleen Kaur, Sourabh Sharma and Bhavya Alankar
Copyright: 2025   |   Expected Pub Date:2025/06/11
ISBN: 9781394305247  |  Hardcover  |  
480 pages
Price: $225 USD
Add To Cart

One Line Description
Unlock the transformative potential of the Metaverse with this crucial book that delves into vital information, security concerns, and innovative applications that can significantly enhance personalized patient care in a rapidly evolving digital landscape.

Audience
Researchers, students, educators, and healthcare professionals focused on information communication technologies and their benefits in healthcare.

Description
This book explores insights into information security concerns, preventive measures, and their impact on healthcare applications in the Metaverse. The Metaverse is an amplified virtual world derived from the conjunction of virtual and physical space, where users can interact in an augmented world to meet each other virtually and engage in virtual activities that give authentic practice. The healthcare industry will tremendously benefit from this technology by using it to enhance personalized care for clients. Public health experts believe that while much has been said about the potential of the Metaverse in the entertainment and gaming industry, healthcare is another industry where its impact could be transformational. This volume provides a better understanding of healthcare applications in the Metaverse and why digital information security is of major concern. Recently, the world saw the impacts of the COVID-19 pandemic, which physically stopped mobility. Life is taken care of using digital interactions and the movement of information digitally through the Metaverse. This book explores implementation issues and performance evaluations of emerging technologies, along with research results and networking methods to demonstrate the immense benefits of this emerging technology.
Readers will find this book:
• Provides comprehensive coverage of the Metaverse, including theoretical modeling of Metaverse architecture and protocols, prospective challenges, and information security;
• Explores wide applications of the Metaverse and their relevance in healthcare;
• Introduces solutions to real-life problems and the future prospects of the Metaverse.

Back to Top
Author / Editor Details
Ajay Kumar Vyas, PhD is an associate professor and the head of the Information and Communication Technology Department at Adani University, India with over 18 years of teaching and research experience. He is the author of over 50 research papers in peer-reviewed international journals and conferences, books, and many book chapters. His research interests include optical devices, AI applications for optics, and 5G and 6G communication.

Harleen Kaur, PhD is an associate professor and chief investigator in the School of Engineering Sciences and Technology at Jamia Hamdard and a visiting professor at The World Academy of Sciences in Italy. She has published over 100 publications in refereed journals and conferences. Her key research includes information analytics, applied machine learning, and predictive modeling.

Sourabh Sharma, PhD is an associate professor in the School of Engineering at Avantika University with over 12 years of academic experience. He is a life member of the Soft Computing Research Society and provides his support and guidance as a reviewer in various international journals and conferences. His research expertise includes image processing applications, soft computing using optimization algorithms, and information security and mining.

Bhavya Alankar, PhD is an associate professor in the Department of Computer Science and Engineering at Jamia Hamdard with over 20 years of teaching and research experience. He has authored and edited several books on very-large-scale integration, machine learning, and Internet of Things. His research interests include VLSI design, cloud computing, deep learning, and reconfigurable computing.

Back to Top

Table of Contents
Preface
Acknowledgments
Part I: Metaverse Technology
1. Introduction to Metaverse for Healthcare
Amit Sharma
1.1 Introduction of Metaverse
1.2 Metaverse in Healthcare
1.3 Potential Uses of Metaverse in Healthcare
1.3.1 Telemedicine and Virtual Consultations
1.3.2 Medical Education and Training
1.3.3 Patient Education and Engagement
1.3.4 Mental Health
1.3.5 Rehabilitation
1.4 Technological Infrastructure
1.4.1 Technologies
1.4.2 Wearable and Hardware
1.5 Benefits and Opportunities
1.5.1 Improved Accessibility
1.5.2 Enhanced Patient Experience
1.5.3 Cost Reduction
1.6 Challenges and Risks
1.6.1 Hardware
1.6.2 Ethical Concerns
1.6.3 Privacy and Data Security
1.6.4 Identity Hacking
1.6.5 Addiction and Mental Health
1.6.6 Regulatory and Legal Issues
1.6.7 Currency and Digital Payment
1.6.8 Technical Challenges
1.7 Metaverse’s Prospects for the Future in Healthcare
1.7.1 Predictions for the Future
1.7.2 Potential Technological Advancements
1.7.3 Long-Term Implications
1.8 Conclusion
References
2. Metaverse and Virtual Healthcare: Opportunities and Challenges
Diksha Dani, Gaurav Agrawal and Abha Kiran Rajpoot
2.1 Introduction
2.2 Metaverse Enabling Technologies
2.2.1 Extended Reality
2.2.2 Blockchain
2.2.3 Internet of Things
2.2.4 Spatial and Edge Computing
2.2.5 3D Modeling and Reconstruction
2.2.6 Brain-Computer Interface
2.2.7 Artificial Intelligence
2.2.8 Advanced Wi-Fi Technology
2.3 Application in Healthcare
2.3.1 Metaverse in Surgeries
2.3.2 Education and Training
2.3.3 Medical Diagnosis and Consultation
2.3.4 Metaverse in Pain Management
2.3.5 Medical Health Data Management
2.4 Limitations and Challenges
2.4.1 Privacy and Security
2.4.2 Health Concerns
2.4.3 Dependence on the Internet
2.4.4 Interoperability
2.4.5 High Cost of Technology
2.4.6 Environmental Impact
2.5 Conclusion
References
3. Innovation and Accountability: An Ethical Perspective on Metaverse Healthcare
Ajay Sudhir Bale
3.1 Introduction
3.2 Methodology
3.2.1 Medical Training Metaverse
3.2.1.1 OSSO VR
3.2.1.2 MediVizor
3.2.2 Virtual Clinical Trials
3.3 Discussion
Conclusion and Future Scope
References
4. The Healthcare Metaverse: Utilizations, Obstacles, and Prospects
Shilpa Mahajan
Introduction
Metaverse
Metaverse Components
AR/VR Technologies
Digital Avatars
3D Virtual Environments
Blockchain and Cryptocurrencies
Issues Faced by Healthcare Industries
Applications of Metaverse in Healthcare Industry
Limitation of AR/VR in Healthcare
Challenges of Metaverse in Healthcare
Future Directions
Conclusion
References
5. Creating The Healthcare of Tomorrow: The Metaverse’s Opportunities and Challenges
Vedanshee Upadhyay and Sourabh Sharma
5.1 Introduction
5.2 Analysis: Metaverse and Healthcare
5.3 Discussion and Synthesis
5.4 Conclusion
References
6. The Role of Metaverse, AI, and 5G in Modernizing Healthcare Platforms
Baby Chithra R., Salna Joy and Ajay Sudhir Bale
6.1 Introduction
6.1.1 Metaverse
6.1.2 AI
6.1.3 5G and Beyond
6.2 Application of Metaverse in Healthcare
6.3 5G and AI Integration with Metaverse
6.4 Conclusion and Future Scope
References
7. Metaverse Makeover: Transforming Patient Care and Wellness in Virtual Realms
Ritesh Kumar Jain, Ajay Kumar Vyas, Vishnu Agarwal and Paras Kothari
7.1 Introduction
7.2 The Evolution of Healthcare in Virtual Environments
7.3 Applications of the Metaverse in Patient Care
7.4 Improving Healthcare Education and Training
7.5 Challenges and Considerations
7.6 Future Directions and Opportunities
7.7 Conclusion
References
8. Metaverse in Medical Training and Education
Avnish Bora and Sunil Vyas
8.1 Introduction
8.2 Virtual Reality
8.3 Augmented Reality
8.4 The Technology
8.4.1 Augmented Reality (AR)
8.4.2 Virtual Reality (VR)
8.5 Market of AR and VR in Healthcare Practice
8.6 Case Studies
8.7 Future Directions
8.8 Conclusion
References
Part II: Security for Metaverse
9. Securing Healthcare in the Metaverse: Advance Deep Learning Algorithms for Non-TATA Promoter Classification in Genome Sequencing
Om Varshney, Yashasvi Agrawal, Yashasvi Kanathey, Yoginii Waykole, Om Mishra and Harsh S. Dhiman
9.1 Introduction
9.2 Literature Review
9.3 Methodology
9.3.1 Preprocessing
9.3.2 Sequence Modeling
9.3.3 Convolutional Models
9.3.4 Combining Sequence Modeling and Feature Extraction
9.3.5 WaveNet
9.4 Experimental Setup
9.4.1 Data Collection
9.5 Evaluation Metrics
9.6 Training Parameters
9.7 Results and Discussion
9.7.1 LSTM
9.7.2 CNN
9.7.3 ConvoLSTM
9.7.4 WaveNet
9.8 Conclusion
References
10. Data Protection Regulation for E-Health Devices
Satwika Dash, Kumash Patel and Manivel Kandasamy
10.1 Introduction to E-Health Devices
10.1.1 Definition of E-Health Devices
10.1.2 Scope and Trends in E-Health Devices
10.1.2.1 Scope of E-Health Devices
10.1.2.2 Trends in E-Health Devices
10.1.3 E-Health Devices in Healthcare and Important Roles
10.1.3.1 Patient Empowerment and Self-Management
10.1.3.2 Healthcare Provider Efficiency and Effectiveness
10.1.3.3 Healthcare System Optimization
10.2 Importance of Data Protection Regulations
10.2.1 Overview of General Data Protection Regulation (GDPR)
10.2.2 Health Insurance Portability and Accountability Act (HIPAA)
10.2.3 Accountability Act and Relevant Regulations (CCPA and PIPEDA)
10.2.4 Important Guidelines and International Standards
10.3 Security Principles and Data Privacy
10.3.1 Overview of Data Minimization
10.3.2 Data Integrity
10.3.3 Data Confidentiality
10.3.4 Transparency and Accountability of Data Privacy
10.3.4.1 Transparency
10.3.4.2 Rights of Data Security
10.4 Regulatory Requirements and Compliance Framework
10.4.1 Data Preprocessing, Retention, and Storage
10.4.1.1 Data Preprocessing
10.4.1.2 Data Retention
10.4.1.3 Data Storage
10.4.2 Data-Sharing Access
10.4.3 Risk Assessment of E-Health Devices
10.4.4 Data Protection and Privacy
10.4.5 Security Mechanisms for Regulatory Requirements
10.5 Data Transfer and Standard Regulations
10.5.1 Global Data Transfer and Legal Frameworks
10.5.2 Binding Corporate Rules (BCR)
10.5.3 Standard Contractual Clauses (SCC)
10.5.4 Decision-Making for Data Transfer
10.6 Future Data Protection for the E-Health Sector
10.6.1 Future Technologies and Impact of the E-Health Sector
10.6.2 Emerging Technologies in Data Protection
10.6.2.1 AI and Machine Learning in Data Protection
10.6.2.2 Role of Blockchain in Data Protection Management
10.6.2.3 Data Protection Regulatory Evaluation
10.6.3 Security Measures and Ethical Considerations
10.6.4 Enhancing the Protection Control over Personal Health Data
10.6.5 Industry Standards in Data-Sharing Mechanisms
10.6.6 Future Challenges and Solutions for Data Protection
10.6.7 Summary of the Data Protection
10.6.7.1 Applications of Data Privacy and Security in E-Health
10.6.7.2 Future Trends in Data Protection for E-Health
References
11. An Extensive Review of Current Cybersecurity Trends in the Healthcare Sector
Manoj Dhawan and Lalit Purohit
11.1 Introduction
11.2 Related Work
11.3 Findings from the Review
11.4 Limitations and Suggestions for Future Research
11.5 Conclusion
References
12. Implementation of Metaverse Technologies and Its Security
Manas Tiwari, Kamal Kumar Kushwah, Hameed Khan and Ajay Kumar Vyas
12.1 Introduction
12.2 Unpacking the Metaverse and Its Key Ingredients
12.2.1 Virtual Reality (VR)
12.2.2 Augmented Reality (AR)
12.2.3 Mixed Reality (MR)
12.2.4 Metaverse Enables in Health Space
12.2.5 Telemedicine and Remote Consultations
12.3 Patient Engagement and Therapy in the Metaverse
12.3.1 Virtual Reality Treatment
12.3.2 Involved Patients and Personalized Therapy
12.3.3 Establishing Networks and Communities
12.4 Case Study for the Global Health Initiative
12.5 Ethical Factors in VR Therapy
12.5.1 Informed Consent
12.5.2 Individualized
12.5.3 Constant Monitoring
12.6 Technological Challenges and Solutions
12.6.1 The Metaverse’s Potential for Healthcare
12.6.2 Prospective Applications in the Future
12.6.3 Potential Limitations and Challenges
12.7 Conclusion
References
13. Metaverse Technologies, Security, and Applications for Healthcare
Shilpi Jindal, Shristi Chaudhary, Shalini Sharma, Meenu Rani and Sonia Bajaj
13.1 Introduction to the Metaverse
13.2 Metaverse Technologies: Back to the Basics and Beyond
13.2.1 Virtual Reality (VR) and Augmented Reality (AR)
13.2.2 Blockchain and Decentralized Technologies
13.2.3 AI and ML
13.2.4 5G and Edge Computing
13.2.5 Innovations in Human-Computer Interaction (HCI)
13.3 Security Challenges in the Metaverse for Healthcare
13.3.1 Data Privacy and Confidentiality
13.3.2 Identity Management and Authentication
13.3.3 Cybersecurity Threats and Attack Vectors
13.3.4 Data Integrity and Reliability
13.3.5 Compliance with Regulatory Requirements
References
14. Leading-Edge Key Management Techniques in the Cryptography: The Metaverse-Driven Strategy
Devendra Kuril, Manoj Dhawan and Lalit Purohit
14.1 Introduction
14.2 Association of Sections
14.3 Significant and Consequence of the Leading-Edge Key Management
14.4 Recommended Approaches
14.5 An Extremely Efficient Encipher/Decipher Suggested Algorithm
14.5.1 Essential Key Elements
14.5.2 Approaches in the Process of Encipher/Decipher
14.6 Observation and Examination
14.6.1 Considering an Instance as All Factors Remained Null During Leading-Edge Key Generation
14.7 Summarization and Future Work
References
Part III: Applications of Metaverse
15. Implementation of Metaverse for Healthcare System Modeling
Naureen Afrose, Rideb Chakraborty, Ahana Hazra, Pratibha Bhowmick and Mithun Bhowmick
15.1 Introduction
15.2 Key Technologies of the Metaverse for Healthcare
15.2.1 Virtual Reality (VR)
15.2.2 Mixed Reality (MR)
15.2.3 Extended Reality (XR)
15.2.4 Augmented Reality (AR)
15.2.5 Artificial Intelligence (AI)
15.3 Metaverse Implementation in Healthcare Modeling
15.3.1 Integrating Healthcare Data Sources: EHRs, Imaging, Demographics, and Facility Layouts
15.3.2 Patient Pathway Simulation: Optimizing Care Delivery and Patient Flow
15.3.3 Healthcare Facility Design: Virtual Prototyping for Improved Efficiency
15.3.4 Epidemiological Forecasting: Simulating Disease Spread and Resource Allocation
15.4 Benefits of Metaverse for Healthcare System Modeling
15.4.1 Improved Patient Outcomes
15.4.2 Better Decision-Making
15.4.3 Increased Efficiency
15.5 Challenges and Considerations
15.6 The Future of Metaverse in Healthcare System Modeling
15.7 Conclusion
References
16. 5G Speeds for Metaverse Healthcare Promises and Challenges
Mamta B. Savadatti, Ajay Sudhir Bale, Achyutesh Dixit and Subhashish Tiwari
16.1 Introduction
16.2 5G Network Requirements for Metaverse Healthcare
16.2.1 Low Latency
16.2.2 Key Performance Indicators for 5G Healthcare
16.2.3 High Connection Density
16.2.4 Reliability
16.2.5 Architecture of Smart Healthcare System
16.3 Enabling Metaverse Healthcare Applications with 5G
16.3.1 Real-Time Patient Monitoring
16.3.2 High-Fidelity Medical Visualization
16.3.3 Virtual Collaborative Environments
16.3.4 Haptic Feedback and Immersion
16.4 Challenges in 5G Rollout for Healthcare Metaverse
16.4.1 Network Coverage
16.4.2 Spectrum Allocation
16.4.3 Technical Obstacles
16.5 Risks and Uncertainties
16.6 Conclusion and Future Directions
References
17. Incorporating Digital Twin Technology in Healthcare: Prospects and Constraints
Krupa Purohit
17.1 Introduction
17.2 Leveraging Digital Twin Technology to Enhance Patient Care
17.2.1 Customized Healthcare
17.2.2 Healthcare Administration and Preventive Treatment
17.2.3 Training and Planning for Surgery
17.2.4 Hospital and Healthcare System Administration
17.3 Prospects and Constraints
17.3.1 Prospects
17.3.2 Constraints
17.4 Healthcare Facilities Utilizing Digital Twins
17.5 Prospective Avenues for Further Investigation
References
18. Application Perspectives of Digital Twin in Healthcare Using Metaverse
Bablu Kumar Singh and Ajay Kumar Vyas
18.1 Introduction
18.2 Need for Digital Twin for Healthcare
18.3 Opportunity
18.4 Applications
18.5 Metaverse: Challenges and Opportunity
18.6 Conclusion
References
19. Optimizing DHD for Healthcare Applications in the Metaverse
Vrunda Patel, Mansvi Patel, Khush Patel and Jignesh Thaker
19.1 Introduction
19.2 Materials Used in Dynamic Holography Display
19.2.1 Experimental Details
19.3 How to Train Network Through CNN for the Optimization of Phase-Only Hologram
19.4 Metaverse Technology in Healthcare with Holographic Display
19.4.1 Metaverse Interfacing
19.4.2 Employment of Healthcare Technologies with Metaverse
References
20. XAI with Different Methods and Applications in Healthcare
Mamta Motiramani, Nainsiben Patel and Alok Kumar Singh
20.1 Introduction
20.2 Leveraging Open Data and XAI
20.2.1 Explainable Open Data
20.2.2 XAI in Healthcare
20.3 Knowledge Graph
20.4 Metaverse Using Immersive Technology
20.4.1 Technologies for Metaverse Healthcare
20.5 Deep Learning–Based Medical Image Analysis
20.6 Dynamic Pruning via XAI
20.7 Predictive Analytics of Pancreatic Cancer
20.8 Approach to Interpretable Healthcare Model
20.9 Challenges
20.10 Conclusion
References
Index

Back to Top



Description
Author/Editor Details
Table of Contents
Bookmark this page