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Metaverse Technologies, Security, and Applications for Healthcare
Ajay Kumar Vyas (Edited by), Harleen Kaur (Edited by), Sourabh Sharma (Edited by), Bhavya Alankar (Edited by)
9781394305247, Wiley
Hardback, published 10 June 2025
480 pages
28 x 19 x 2.5 cm, 0.885 kg
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: Audience Researchers, students, educators, and healthcare professionals focused on information communication technologies and their benefits in healthcare.
Preface xvii Acknowledgments xxi Part I: Metaverse Technology 1 1 Introduction to Metaverse for Healthcare 3 1.1 Introduction of Metaverse 3 1.2 Metaverse in Healthcare 5 1.3 Potential Uses of Metaverse in Healthcare 6 1.3.1 Telemedicine and Virtual Consultations 6 1.3.2 Medical Education and Training 7 1.3.3 Patient Education and Engagement 10 1.3.4 Mental Health 11 1.3.5 Rehabilitation 13 1.4 Technological Infrastructure 14 1.4.1 Technologies 15 1.4.2 Wearable and Hardware 18 1.5 Benefits and Opportunities 22 1.5.1 Improved Accessibility 22 1.5.2 Enhanced Patient Experience 23 1.5.3 Cost Reduction 24 1.6 Challenges and Risks 25 1.6.1 Hardware 25 1.6.2 Ethical Concerns 25 1.6.3 Privacy and Data Security 26 1.6.4 Identity Hacking 26 1.6.5 Addiction and Mental Health 27 1.6.6 Regulatory and Legal Issues 27 1.6.7 Currency and Digital Payment 27 1.6.8 Technical Challenges 28 1.7 Metaverse’s Prospects for the Future in Healthcare 28 1.7.1 Predictions for the Future 28 1.7.2 Potential Technological Advancements 29 1.7.3 Long-Term Implications 29 1.8 Conclusion 30 References 30 2 Metaverse and Virtual Healthcare: Opportunities and Challenges 37 2.1 Introduction 38 2.2 Metaverse Enabling Technologies 40 2.2.1 Extended Reality 40 2.2.2 Blockchain 41 2.2.3 Internet of Things 41 2.2.4 Spatial and Edge Computing 42 2.2.5 3D Modeling and Reconstruction 43 2.2.6 Brain-Computer Interface 43 2.2.7 Artificial Intelligence 44 2.2.8 Advanced Wi-Fi Technology 44 2.3 Application in Healthcare 45 2.3.1 Metaverse in Surgeries 45 2.3.2 Education and Training 47 2.3.3 Medical Diagnosis and Consultation 48 2.3.4 Metaverse in Pain Management 48 2.3.5 Medical Health Data Management 49 2.4 Limitations and Challenges 49 2.4.1 Privacy and Security 49 2.4.2 Health Concerns 50 2.4.3 Dependence on the Internet 50 2.4.4 Interoperability 51 2.4.5 High Cost of Technology 51 2.4.6 Environmental Impact 52 2.5 Conclusion 52 References 53 3 Innovation and Accountability: An Ethical Perspective on Metaverse Healthcare 57 3.1 Introduction 58 3.2 Methodology 59 3.2.1 Medical Training Metaverse 60 3.2.1.1 Osso Vr 63 3.2.1.2 MediVizor 69 3.2.2 Virtual Clinical Trials 69 3.3 Discussion 75 Conclusion and Future Scope 77 References 78 4 The Healthcare Metaverse: Utilizations, Obstacles, and Prospects 81 Introduction 81 Metaverse 82 Metaverse Components 83 AR/VR Technologies 83 Digital Avatars 84 3D Virtual Environments 85 Blockchain and Cryptocurrencies 85 Issues Faced by Healthcare Industries 87 Applications of Metaverse in Healthcare Industry 89 Limitation of AR/VR in Healthcare 90 Challenges of Metaverse in Healthcare 94 Future Directions 95 Conclusion 96 References 96 5 Creating The Healthcare of Tomorrow: The Metaverse’s Opportunities and Challenges 101 5.1 Introduction 102 5.2 Analysis: Metaverse and Healthcare 105 5.3 Discussion and Synthesis 110 5.4 Conclusion 112 References 113 6 The Role of Metaverse, AI, and 5G in Modernizing Healthcare Platforms 121 6.1 Introduction 122 6.1.1 Metaverse 122 6.1.2 Ai 124 6.1.3 5G and Beyond 126 6.2 Application of Metaverse in Healthcare 128 6.3 5G and AI Integration with Metaverse 135 6.4 Conclusion and Future Scope 140 References 142 7 Metaverse Makeover: Transforming Patient Care and Wellness in Virtual Realms 147 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 References 169 8 Metaverse in Medical Training and Education 173 8.1 Introduction 174 8.2 Virtual Reality 180 8.3 Augmented Reality 182 8.4 The Technology 185 8.4.1 Augmented Reality (AR) 185 8.4.2 Virtual Reality (VR) 186 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 References 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 9.1 Introduction 202 9.2 Literature Review 202 9.3 Methodology 205 9.3.1 Preprocessing 206 9.3.2 Sequence Modeling 206 9.3.3 Convolutional Models 206 9.3.4 Combining Sequence Modeling and Feature Extraction 207 9.3.5 WaveNet 207 9.4 Experimental Setup 208 9.4.1 Data Collection 208 9.5 Evaluation Metrics 209 9.6 Training Parameters 209 9.7 Results and Discussion 210 9.7.1 Lstm 210 9.7.2 Cnn 211 9.7.3 ConvoLSTM 212 9.7.4 WaveNet 213 9.8 Conclusion 216 References 216 10 Data Protection Regulation for E-Health Devices 219 10.1 Introduction to E-Health Devices 220 10.1.1 Definition of E-Health Devices 221 10.1.2 Scope and Trends in E-Health Devices 221 10.1.2.1 Scope of E-Health Devices 221 10.1.2.2 Trends in E-Health Devices 222 10.1.3 E-Health Devices in Healthcare and Important Roles 223 10.1.3.1 Patient Empowerment and Self- Management 223 10.1.3.2 Healthcare Provider Efficiency and Effectiveness 223 10.1.3.3 Healthcare System Optimization 224 10.2 Importance of Data Protection Regulations 224 10.2.1 Overview of General Data Protection Regulation (gdpr) 224 10.2.2 Health Insurance Portability and Accountability Act (HIPAA) 225 10.2.3 Accountability Act and Relevant Regulations (CCPA and PIPEDA) 225 10.2.4 Important Guidelines and International Standards 226 10.3 Security Principles and Data Privacy 227 10.3.1 Overview of Data Minimization 227 10.3.2 Data Integrity 227 10.3.3 Data Confidentiality 228 10.3.4 Transparency and Accountability of Data Privacy 229 10.3.4.1 Transparency 229 10.3.4.2 Rights of Data Security 230 10.4 Regulatory Requirements and Compliance Framework 231 10.4.1 Data Preprocessing, Retention, and Storage 231 10.4.1.1 Data Preprocessing 231 10.4.1.2 Data Retention 231 10.4.1.3 Data Storage 231 10.4.2 Data-Sharing Access 232 10.4.3 Risk Assessment of E-Health Devices 232 10.4.4 Data Protection and Privacy 233 10.4.5 Security Mechanisms for Regulatory Requirements 234 10.5 Data Transfer and Standard Regulations 235 10.5.1 Global Data Transfer and Legal Frameworks 235 10.5.2 Binding Corporate Rules (BCR) 236 10.5.3 Standard Contractual Clauses (SCC) 237 10.5.4 Decision-Making for Data Transfer 238 10.6 Future Data Protection for the E-Health Sector 239 10.6.1 Future Technologies and Impact of the E-Health Sector 239 10.6.2 Emerging Technologies in Data Protection 240 10.6.2.1 AI and Machine Learning in Data Protection 242 10.6.2.2 Role of Blockchain in Data Protection Management 243 10.6.2.3 Data Protection Regulatory Evaluation 244 10.6.3 Security Measures and Ethical Considerations 245 10.6.4 Enhancing the Protection Control over Personal Health Data 246 10.6.5 Industry Standards in Data-Sharing Mechanisms 247 10.6.6 Future Challenges and Solutions for Data Protection 248 10.6.7 Summary of the Data Protection 249 10.6.7.1 Applications of Data Privacy and Security in E-Health 250 10.6.7.2 Future Trends in Data Protection for E-Health 251 References 253 11 An Extensive Review of Current Cybersecurity Trends in the Healthcare Sector 255 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 References 272 12 Implementation of Metaverse Technologies and Its Security 277 12.1 Introduction 278 12.2 Unpacking the Metaverse and Its Key Ingredients 280 12.2.1 Virtual Reality (VR) 281 12.2.2 Augmented Reality (AR) 281 12.2.3 Mixed Reality (MR) 281 12.2.4 Metaverse Enables in Health Space 281 12.2.5 Telemedicine and Remote Consultations 282 12.3 Patient Engagement and Therapy in the Metaverse 283 12.3.1 Virtual Reality Treatment 284 12.3.2 Involved Patients and Personalized Therapy 285 12.3.3 Establishing Networks and Communities 285 12.4 Case Study for the Global Health Initiative 286 12.5 Ethical Factors in VR Therapy 288 12.5.1 Informed Consent 288 12.5.2 Individualized 288 12.5.3 Constant Monitoring 288 12.6 Technological Challenges and Solutions 289 12.6.1 The Metaverse’s Potential for Healthcare 289 12.6.2 Prospective Applications in the Future 290 12.6.3 Potential Limitations and Challenges 292 12.7 Conclusion 292 References 293 13 Metaverse Technologies, Security, and Applications for Healthcare 297 13.1 Introduction to the Metaverse 298 13.2 Metaverse Technologies: Back to the Basics and Beyond 298 13.2.1 Virtual Reality (VR) and Augmented Reality (AR) 298 13.2.2 Blockchain and Decentralized Technologies 299 13.2.3 AI and ml 299 13.2.4 5G and Edge Computing 299 13.2.5 Innovations in Human-Computer Interaction (HCI) 299 13.3 Security Challenges in the Metaverse for Healthcare 300 13.3.1 Data Privacy and Confidentiality 300 13.3.2 Identity Management and Authentication 300 13.3.3 Cybersecurity Threats and Attack Vectors 300 13.3.4 Data Integrity and Reliability 301 13.3.5 Compliance with Regulatory Requirements 301 References 307 14 Leading-Edge Key Management Techniques in the Cryptography: The Metaverse-Driven Strategy 313 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 14.5.1 Essential Key Elements 319 14.5.2 Approaches in the Process of Encipher/Decipher 319 14.6 Observation and Examination 321 14.6.1 Considering an Instance as All Factors Remained Null During Leading-Edge Key Generation 321 14.7 Summarization and Future Work 321 References 322 Part III: Applications of Metaverse 325 15 Implementation of Metaverse for Healthcare System Modeling 327 15.1 Introduction 328 15.2 Key Technologies of the Metaverse for Healthcare 329 15.2.1 Virtual Reality (VR) 329 15.2.2 Mixed Reality (MR) 331 15.2.3 Extended Reality (XR) 332 15.2.4 Augmented Reality (AR) 334 15.2.5 Artificial Intelligence (AI) 335 15.3 Metaverse Implementation in Healthcare Modeling 336 15.3.1 Integrating Healthcare Data Sources: EHRs, Imaging, Demographics, and Facility Layouts 338 15.3.2 Patient Pathway Simulation: Optimizing Care Delivery and Patient Flow 340 15.3.3 Healthcare Facility Design: Virtual Prototyping for Improved Efficiency 341 15.3.4 Epidemiological Forecasting: Simulating Disease Spread and Resource Allocation 341 15.4 Benefits of Metaverse for Healthcare System Modeling 343 15.4.1 Improved Patient Outcomes 343 15.4.2 Better Decision-Making 344 15.4.3 Increased Efficiency 344 15.5 Challenges and Considerations 345 15.6 The Future of Metaverse in Healthcare System Modeling 346 15.7 Conclusion 347 References 347 16 5G Speeds for Metaverse Healthcare Promises and Challenges 351 16.1 Introduction 352 16.2 5G Network Requirements for Metaverse Healthcare 354 16.2.1 Low Latency 356 16.2.2 Key Performance Indicators for 5G Healthcare 357 16.2.3 High Connection Density 358 16.2.4 Reliability 358 16.2.5 Architecture of Smart Healthcare System 359 16.3 Enabling Metaverse Healthcare Applications with 5G 361 16.3.1 Real-Time Patient Monitoring 362 16.3.2 High-Fidelity Medical Visualization 363 16.3.3 Virtual Collaborative Environments 364 16.3.4 Haptic Feedback and Immersion 365 16.4 Challenges in 5G Rollout for Healthcare Metaverse 368 16.4.1 Network Coverage 368 16.4.2 Spectrum Allocation 369 16.4.3 Technical Obstacles 371 16.5 Risks and Uncertainties 372 16.6 Conclusion and Future Directions 373 References 373 17 Incorporating Digital Twin Technology in Healthcare: Prospects and Constraints 379 17.1 Introduction 380 17.2 Leveraging Digital Twin Technology to Enhance Patient Care 381 17.2.1 Customized Healthcare 382 17.2.2 Healthcare Administration and Preventive Treatment 382 17.2.3 Training and Planning for Surgery 383 17.2.4 Hospital and Healthcare System Administration 383 17.3 Prospects and Constraints 383 17.3.1 Prospects 383 17.3.2 Constraints 384 17.4 Healthcare Facilities Utilizing Digital Twins 385 17.5 Prospective Avenues for Further Investigation 390 References 391 18 Application Perspectives of Digital Twin in Healthcare Using Metaverse 393 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 References 405 19 Optimizing DHD for Healthcare Applications in the Metaverse 409 19.1 Introduction 410 19.2 Materials Used in Dynamic Holography Display 411 19.2.1 Experimental Details 414 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 19.4.1 Metaverse Interfacing 419 19.4.2 Employment of Healthcare Technologies with Metaverse 422 References 427 20 XAI with Different Methods and Applications in Healthcare 431 20.1 Introduction 432 20.2 Leveraging Open Data and XAI 433 20.2.1 Explainable Open Data 434 20.2.2 XAI in Healthcare 435 20.3 Knowledge Graph 436 20.4 Metaverse Using Immersive Technology 437 20.4.1 Technologies for Metaverse Healthcare 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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Subject Areas: Computer science [UY]
