finelybook
AI Powered Healthcare in the Metaverse: Virtual Ecosystems
Author(s): Balasubramaniam S (Editor), Seifedine Kadry (Editor)
- Publisher Finelybook 出版社: CRC Press
- Publication Date 出版日期: September 7, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 300 pages
- ISBN-10: 1041105851
- ISBN-13: 9781041105855
Book Description
The convergence of AI and the metaverse is poised to revolutionize healthcare and other industries. Healthcare has undergone rapid transformation through the adoption of AI technologies, ranging from machine learning for diagnostics to AI-driven drug discovery and personalized treatments. Simultaneously, the development of immersive virtual environments, including the metaverse, has opened new frontiers in virtual interaction, training, and simulation. At the same time, the pandemic has accelerated the shift toward remote healthcare services such as telemedicine, highlighting the potential for virtual care ecosystems that transcend physical limitations. As AI becomes more sophisticated, it is now capable of creating virtual hospitals, digital twins, and AI-driven monitoring tools that offer unprecedented levels of patient care. The metaverse, often associated with gaming and entertainment, is evolving into a platform where healthcare services can be delivered in immersive, interactive, and real-time virtual environments. This combination of AI-powered healthcare in the metaverse promises a future where patients can receive personalized, continuous care regardless of location.
This book explores the emerging field of AI-powered healthcare in virtual environments and provide readers with an understanding of how this technological integration will reshape the future of medical care. By combining the potential of AI with the immersive capabilities of the metaverse, this book aims to offer a roadmap for the future of healthcare, emphasizing how virtual health ecosystems can improve diagnostics, treatment, and patient engagement.
This book will serve as a reference for researchers, scholars, and industry professionals in different fields related to healthcare, metaverse and artificial intelligence. It can also be a hands-on resource for students interested in the fields of metaverse and healthcare applications using artificial intelligence.
Key Features:
- Focuses on the integration of AI and the metaverse, not just as separate technologies, but as cohesive elements in a comprehensive, patient-centered health ecosystem.
- Offers practical insights and real-world applications rather than just theoretical discussions.
- Provides future-oriented, predictive, and preventive healthcare framework with a strong focus on AI-driven advancements.
- Addresses ethical, regulatory, and governance issues, which are critical to the successful adoption of AI in virtual healthcare environments.
Editorial Reviews
Editorial Reviews
About the Author
Dr. Balasubramaniam S is an assistant professor at the School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology, Digital University Kerala (DUK), Thiruvananthapuram, Kerala, India. Prior to joining DUK, he was with the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, where he worked as a senior associate professor. He has around 15+ years of experience in teaching, applied research, and industry. He completed his postdoctoral research in the Department of Applied Data Science at Noroff University College, Kristiansand, Norway.He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India, in 2015. He has published more than 30 research papers in reputed SCI/WoS/Scopus indexed Journals. He has been granted one Australian patent and two Indian Patents and has also published two additional Indian patents. He has presented papers at conferences, received a best paper award, contributed 40 chapters in edited books, and served as an Editor for 15 books published by international publishers. His research and publication interests include machine learning, deep learning, federated learning-based healthcare and security applications, cloud computing security, Generative AI, and Agentic AI.
Prof. Seifedine Kadry has a bachelor’s degree in 1999 from Lebanese University, an MS degree in 2002 from Reims University (France) and EPFL (Lausanne), a Ph.D in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present, his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an IET and AAIA fellow, and he is a full professor of data science at the Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
