Overview

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

Full Product Details

Author:   Ajay Kumar Vyas (Adani University, India) ,  Harleen Kaur (Jamia Hamdard University, India; The World Academy of Sciences (TWAS), Italy) ,  Sourabh Sharma (Avantika University, India) ,  Bhavya Alankar (Jamia Hamdard University, India)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Scrivener
ISBN:  

9781394305247

ISBN 10:   1394305249
Pages:   480
Publication Date:   10 June 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Preface xvii Acknowledgments xxi Part I: Metaverse Technology 1 1 Introduction to Metaverse for Healthcare 3 Amit Sharma 1.1 Introduction of Metaverse 3 1.2 Metaverse in Healthcare 5 1.3 Potential Uses of Metaverse in Healthcare 6 1.4 Technological Infrastructure 14 1.5 Benefits and Opportunities 22 1.6 Challenges and Risks 25 1.7 Metaverse's Prospects for the Future in Healthcare 28 1.8 Conclusion 30 2 Metaverse and Virtual Healthcare: Opportunities and Challenges 37 Diksha Dani, Gaurav Agrawal and Abha Kiran Rajpoot 2.1 Introduction 38 2.2 Metaverse Enabling Technologies 40 2.3 Application in Healthcare 45 2.4 Limitations and Challenges 49 2.5 Conclusion 52 3 Innovation and Accountability: An Ethical Perspective on Metaverse Healthcare 57 Ajay Sudhir Bale 3.1 Introduction 58 3.2 Methodology 59 3.3 Discussion 75 4 The Healthcare Metaverse: Utilizations, Obstacles, and Prospects 81 Shilpa Mahajan 4.1 Introduction 81 4.2 Metaverse 82 4.3 Metaverse Components 83 4.4 AR/VR Technologies 83 4.5 Future Directions 95 4.6 Conclusion 96 5 Creating The Healthcare of Tomorrow: The Metaverse's Opportunities and Challenges 101 Vedanshee Upadhyay and Sourabh Sharma 5.1 Introduction 102 5.2 Analysis: Metaverse and Healthcare 105 5.3 Discussion and Synthesis 110 5.4 Conclusion 112 6 The Role of Metaverse, AI, and 5G in Modernizing Healthcare Platforms 121 Baby Chithra R., Salna Joy and Ajay Sudhir Bale 6.1 Introduction 122 6.2 Application of Metaverse in Healthcare 128 6.3 5G and AI Integration with Metaverse 135 6.4 Conclusion and Future Scope 140 7 Metaverse Makeover: Transforming Patient Care and Wellness in Virtual Realms 147 Ritesh Kumar Jain, Ajay Kumar Vyas, Vishnu Agarwal and Paras Kothari 7.1 Introduction 148 7.2 The Evolution of Healthcare in Virtual Environments 150 7.3 Applications of the Metaverse in Patient Care 153 7.4 Improving Healthcare Education and Training 157 7.5 Challenges and Considerations 161 7.6 Future Directions and Opportunities 165 7.7 Conclusion 167 8 Metaverse in Medical Training and Education 173 Avnish Bora and Sunil Vyas 8.1 Introduction 174 8.2 Virtual Reality 180 8.3 Augmented Reality 182 8.4 The Technology 185 8.5 Market of AR and VR in Healthcare Practice 187 8.6 Case Studies 192 8.7 Future Directions 193 8.8 Conclusion 195 Part II: Security for Metaverse 199 9 Securing Healthcare in the Metaverse: Advance Deep Learning Algorithms for Non-TATA Promoter Classification in Genome Sequencing 201 Om Varshney, Yashasvi Agrawal, Yashasvi Kanathey, Yoginii Waykole, Om Mishra and Harsh S. Dhiman 9.1 Introduction 202 9.2 Literature Review 202 9.3 Methodology 205 9.4 Experimental Setup 208 9.5 Evaluation Metrics 209 9.6 Training Parameters 209 9.7 Results and Discussion 210 9.8 Conclusion 216 10 Data Protection Regulation for E-Health Devices 219 Satwika Dash, Kumash Patel and Manivel Kandasamy 10.1 Introduction to E-Health Devices 220 10.2 Importance of Data Protection Regulations 224 10.3 Security Principles and Data Privacy 227 10.4 Regulatory Requirements and Compliance Framework 231 10.5 Data Transfer and Standard Regulations 235 10.6 Future Data Protection for the E-Health Sector 239 11 An Extensive Review of Current Cybersecurity Trends in the Healthcare Sector 255 Manoj Dhawan and Lalit Purohit 11.1 Introduction 256 11.2 Related Work 258 11.3 Findings from the Review 266 11.4 Limitations and Suggestions for Future Research 270 11.5 Conclusion 272 12 Implementation of Metaverse Technologies and Its Security 277 Manas Tiwari, Kamal Kumar Kushwah, Hameed Khan and Ajay Kumar Vyas 12.1 Introduction 278 12.2 Unpacking the Metaverse and Its Key Ingredients 280 12.3 Patient Engagement and Therapy in the Metaverse 283 12.4 Case Study for the Global Health Initiative 286 12.5 Ethical Factors in VR Therapy 288 12.6 Technological Challenges and Solutions 289 12.7 Conclusion 292 13 Metaverse Technologies, Security, and Applications for Healthcare 297 Shilpi Jindal, Shristi Chaudhary, Shalini Sharma, Meenu Rani and Sonia Bajaj 13.1 Introduction to the Metaverse 298 13.2 Metaverse Technologies: Back to the Basics and Beyond 298 13.3 Security Challenges in the Metaverse for Healthcare 300 14 Leading-Edge Key Management Techniques in the Cryptography: The Metaverse-Driven Strategy 313 Devendra Kuril, Manoj Dhawan and Lalit Purohit 14.1 Introduction 314 14.2 Association of Sections 315 14.3 Significant and Consequence of the Leading-Edge Key Management 315 14.4 Recommended Approaches 317 14.5 An Extremely Efficient Encipher/Decipher Suggested Algorithm 319 14.6 Observation and Examination 321 14.7 Summarization and Future Work 321 Part III: Applications of Metaverse 325 15 Implementation of Metaverse for Healthcare System Modeling 327 Naureen Afrose, Rideb Chakraborty, Ahana Hazra, Pratibha Bhowmick and Mithun Bhowmick 15.1 Introduction 328 15.2 Key Technologies of the Metaverse for Healthcare 329 15.3 Metaverse Implementation in Healthcare Modeling 336 15.4 Benefits of Metaverse for Healthcare System Modeling 343 15.5 Challenges and Considerations 345 15.6 The Future of Metaverse in Healthcare System Modeling 346 15.7 Conclusion 347 16 5G Speeds for Metaverse Healthcare Promises and Challenges 351 Mamta B. Savadatti, Ajay Sudhir Bale, Achyutesh Dixit and Subhashish Tiwari 16.1 Introduction 352 16.2 5G Network Requirements for Metaverse Healthcare 354 16.3 Enabling Metaverse Healthcare Applications with 5G 361 16.4 Challenges in 5G Rollout for Healthcare Metaverse 368 16.5 Risks and Uncertainties 372 16.6 Conclusion and Future Directions 373 17 Incorporating Digital Twin Technology in Healthcare: Prospects and Constraints 379 Krupa Purohit 17.1 Introduction 380 17.2 Leveraging Digital Twin Technology to Enhance Patient Care 381 17.3 Prospects and Constraints 383 17.4 Healthcare Facilities Utilizing Digital Twins 385 17.5 Prospective Avenues for Further Investigation 390 18 Application Perspectives of Digital Twin in Healthcare Using Metaverse 393 Bablu Kumar Singh and Ajay Kumar Vyas 18.1 Introduction 393 18.2 Need for Digital Twin for Healthcare 397 18.3 Opportunity 399 18.4 Applications 399 18.5 Metaverse: Challenges and Opportunity 403 18.6 Conclusion 404 19 Optimizing DHD for Healthcare Applications in the Metaverse 409 Vrunda Patel, Mansvi Patel, Khush Patel and Jignesh Thaker 19.1 Introduction 410 19.2 Materials Used in Dynamic Holography Display 411 19.3 How to Train Network Through CNN for the Optimization of Phase-Only Hologram 416 19.4 Metaverse Technology in Healthcare with Holographic Display 419 20 XAI with Different Methods and Applications in Healthcare 431 Mamta Motiramani, Nainsiben Patel and Alok Kumar Singh 20.1 Introduction 432 20.2 Leveraging Open Data and XAI 433 20.3 Knowledge Graph 436 20.4 Metaverse Using Immersive Technology 437 20.5 Deep Learning-Based Medical Image Analysis 439 20.6 Dynamic Pruning via XAI 440 20.7 Predictive Analytics of Pancreatic Cancer 441 20.8 Approach to Interpretable Healthcare Model 441 20.9 Challenges 444 20.10 Conclusion 446 References 446 Index 451

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Author Information

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.

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