Digital transformation has brought about both unprecedented opportunities and complex challenges in the landscape of healthcare. As healthcare systems strive to meet the growing demands of an aging population and rising healthcare costs, they are confronted with issues of inefficiency, fragmented care delivery, and limited access to quality services. Moreover, the global COVID-19 pandemic has further exacerbated these challenges, highlighting the urgent need for innovative solutions to enhance healthcare delivery and sustainability.

Digital Twins for Sustainable Healthcare in the Metaverse emerges as a solution to these pressing challenges, offering a forward-thinking approach to revolutionize healthcare delivery. By exploring the integration of digital twin (DT) technology with the consumer health metaverse (MCH), alongside artificial intelligence (AI), machine learning (ML), and other cutting-edge innovations, this book provides a roadmap for transforming healthcare systems and processes. From enhancing data management and visualization techniques to leveraging blockchain technology for data privacy, each chapter offers actionable insights to address the complexities of modern healthcare delivery.

With its interdisciplinary approach and focus on practical applications, this book serves as a comprehensive guide for healthcare professionals, researchers, policymakers, and students alike. By bridging the gap between theory and practice, the book empowers readers to harness the full potential of DT-enabled healthcare solutions to create a more efficient, effective, and sustainable healthcare ecosystem. Ultimately, this book is poised to drive innovation, improve patient outcomes, and shape the future of healthcare delivery in the digital age.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence (AI)
Blockchain Technology
Consumer Health Metaverse (MCH)
Data Management
Digital Twins (DT)
Healthcare Delivery
Machine Learning (ML)
Medical Data Management
Multimodal Data
Prognostics
Sustainable Healthcare
Telemedicine
Visualization Techniques

Table of Contents

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Editor/Author Biographies

Rajmohan Rajendrane got his B.Tech. Degree in Computer Science and Engineering in 2010 from Pondicherry University and obtained his master’s degree from Pondicherry University in 2012 in the field of Network and Internet Engineering. He did Doctoral Research work in Co-operative Networks under Anna University and completed in the year 2022. Rajmohan has spent a decade in instructing, counseling, and down to earth application improvement. He is currently working as Assistant Professor in SRM Institute of Science and Technology (Deemed to be University) Tamil Nadu, India. His fields of interest are Artificial Intelligence, Data Science, Medical Imaging, Machine Learning, Wireless Network, Deep learning and IoT. He has published more than 80 papers in various reputed SCI, Scopus indexed and UGC care journals. He has published 2 patents in the domain of image processing and currently waiting for its examination. He has edited 2 books under CRC press and Eureka publications. He has authored a book titled “Evolutionary Intelligence for Healthcare Applications”, published by Taylor and Francis group. He received Best Educator Award from International Institute of Organized Research (I2OR), India in 2017. He was award by DST and Texas Instruments Inc. for his participation in India Innovation Challenge Design, 2018. He the Bagged Best Project award for the work from IEI society India, 2019. He acts the associate editor of PLOS ONE journal and reviewer for reputed journals like Journal of Supercomputing, Springer, Applied Sciences, MDPI, Computers, Materials & Continua, Tech Science Press, and Sensors, MDPI. He is the Editorial Board Member of SCIREA journal of Computer, American journal of Networks and Communication and Bulletin of Electrical Engineering, and Informatics. He holds membership in societies like Indian Society for Technical Education International Society for Research and Development, International Association of Engineers, The Society of Digital Information and Wireless Communications and International Computer Science and Engineering Society.

Dr. Subrata Chowdhury is currently working as an associate professor in the Department of Computer Science and Engineering at Sreenivasa Institute of Technology and Management Studies, Chittoor, AP. He has worked in the R&D development of the IT industry for more than 5 years. He has completed many projects in the industry with much dedication and perfect time limits. He has handled various projects in AI, blockchain, and cloud computing for national and international clients. He published four books from 2014 to 2019 on the domestic market, and he edited two books for international publishers like CRC, River, etc. He has been involved in the organizing committee and technical program committee and has acted as a guest speaker for more than 10 conferences and webinars. He has also reviewed and evaluated more than 50 papers in conferences, journals, book chapters, and science articles in the areas of AI, data science, IoT, blockchain, and cloud computing for CRC, Springer, Elsevier, Emerald, IGI-Global, and Inder Science Publishers. He is the Associate Editor of JOE, IET, Wiley, and other journals. He has taken part in various workshops, webinars, and FDPs as a resource person. He has published more than 30 research papers, copyrights, and patents to his credit. He has been awarded by the International and National Science Societies for his eminent contribution to the R&D field. He has received travel grants, and he is also a member of the IET, IEEE, ISTE, ACM, and other professional bodies.

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