Healthcare Frontiers in the Metaverse

Innovations and Impacts

Häftad, Engelska, 2025

Av Shalli Rani, India) Rani, Shalli (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab

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Healthcare Frontiers in the Metaverse: Innovations and Impacts provides a deeper comprehension of the metaverse’s revolutionary effects on patient care, medical education, and operational procedures in the healthcare sector. This book Includes both the fundamentals of patient experience, provider practices, and the overall framework of the healthcare business as the democratization of medical education through virtual simulations and the individualized care enabled by AI-driven diagnostics. In 14 chapters, Healthcare Frontiers in the Metaverse: Innovations and Impacts leads the reader to an introduction to definition, elements, treatment and diagnostic in healthcare in metaverse, the next evolution in social connection, and the successor to the mobile internet. It describes the role of robots and give a view on the future scope and challenges. Healthcare Frontiers in the Metaverse: Innovations and Impacts serves as a road map for technologists and policymakers influencing the direction of healthcare as well as a help book for medical practitioners integrating metaverse technologies into their practice.

. Investigates the dynamic and transformative synergy that exists between the metaverse and healthcare
. Offers a thorough examination of the opportunities, difficulties, and revolutionary potential that arise from the convergence of cutting-edge metaverse technology with the healthcare sector
. Explores the ways in which the metaverse is changing patient care, medical education, research, and the landscape of healthcare in general, from virtual reality therapy to AI-driven diagnostics

Produktinformation

Utgivningsdatum2025-08-05
Mått191 x 235 x 22 mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor410
FörlagElsevier Science
ISBN9780443329982

Tillhör följande kategorier

Hälsoinformatik inom Medicin
Hälso- och sjukvård inom Medicin
Artificiell intelligens inom Data och it
Systemvetenskap och AI inom Data och it
Biologi inom Naturvetenskap och teknik

Shalli Rani completed her Post-doc from Manchester Metropolitan University, UK in June , 2023. She is Professor at Chitkara University Institute of Engineering and Technology, India . She has 2 decades of teaching experience. She received Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar. Her main area of interest, Machine Learning and Internet of Things. She has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored several books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters.. She received a young scientist award in Feb. 2014 from Punjab Science Congress, Lifetime Achievement Award and Supervisor of the year award from Global Innovation and Excellence, 2021.

Chapter 1: Blockchain technology and the metaverse: revolutionizing healthcare data security and efficiencyChapter 2: MedTech Fusion in the Metaverse using business intelligence through AIoTBc: artificial intelligence, Internet of Things, blockchainChapter 3: Intelligent medical report extraction and generation model for smart healthcare servicesChapter 4: Blockchain aware game theory-based medical data sharing schemeChapter 5: Real-time brain monitoring: application of wearable neurotech in healthcareChapter 6: Predictive analytics and diagnostics in personalized medicine using machine learning modelsChapter 7: Ethical research: the role of robotics in healthcare and metaverse’s legal considerationsChapter 8: Metaverse-enhanced deep neural network approach for detecting and classifying catheters in chest X-raysChapter 9: Case study, future scope, and vision of Metaverse in diagnosing brain tumor diseaseChapter 10: Robotic revolution: ethical and legal frontiers in healthcare metaverse researchChapter 11: Adaptive virtual reality exposure therapy and motor rehabilitation from Hebbian learning rule in metaverse: (Δ W/ij) for psychoanalysisChapter 12: Implementing virtual patient simulation and surgical training in medical school: finding Data-S and Learning-RChapter 13: Healthcare frontiers in the metaverse: innovations and impactsChapter 14: Vision of the metaverse in healthcareChapter 15: Case study, future scope and vision of metaverse in healthcareChapter 16: The role of robotics: deep Q-network-based fusion for healthcare metaverse applicationsChapter 17: Transforming healthcare in the metaverse with impact of wearable technologyChapter 18: Developers’ engineering of metaverse and healthcare procurements