Federated Learning in Metaverse Healthcare

Personalized Medicine and Wellness

Shubham Mahajan, Jyotir Moy Chatterjee

• Publisher: Academic Press
• Year: 2025
• Topic: Biological Sciences
• eBook ISBN:
  9780443337901
• Subtopic: Biotechnology
• Index: Biological Sciences

Federated Learning in Metaverse Healthcare: Personalized Medicine and Wellness explores the integration of the metaverse with healthcare, offering immersive experiences and personalized care. The book introduces federated learning, emphasizing its advantages over traditional centralized machine learning in healthcare. It provides a historical context and discusses the technological advancements that led to the emergence of metaverse healthcare. Privacy-preserving methods crucial for protecting sensitive healthcare data within federated learning environments are also examined, underscoring the importance of secure communication protocols. Other important points include the transformation of healthcare delivery through virtual environments, remote consultations, and immersive experiences.The role of telemedicine in facilitating remote diagnostics and consultations via virtual platforms, and the applications of augmented reality wearables for real-time health monitoring and wellness tracking are detailed. Additionally, the book discusses federated learning's ability to deliver personalized treatment plans tailored to individual patient needs, its role in predictive modeling for disease risks and prevention, as well as virtual health coaches offering personalized guidance for wellness management. The challenges and ethical dilemmas of metaverse healthcare and federated learning, along with potential solutions, are also considered. - Explains privacy-preserving techniques in federated learning, such as federated averaging, differential privacy, and secure aggregation, thus ensuring the protection of sensitive healthcare data - Presents use cases and case studies that demonstrate the practical applications of federated learning in virtual healthcare settings - Illustrates its impact on patient care, medical research, and healthcare innovation - Contains contributions from leading experts in the fields of healthcare, artificial intelligence, and virtual reality, providing valuable insights and perspectives on the intersection of federated learning and metaverse healthcare

Table of contents

• Title of Book
• Chapter 1 Virtual clinics and hospitals: transforming healthcare in the digital age
• Chapter 2 Navigating the virtual frontier: challenges and solutions for ethical federated learning in metaverse healthcare in India
• Chapter 3 Review of deep reinforcement learning and artificial neural networks in healthcare systems
• Chapter 4 Virtual clinical and hospital in India
• Chapter 5 Introduction to metaverse healthcare
• Chapter 6 Telemedicine in metaverse
• Chapter 7 Virtual clinics and healthcare ecosystem
• Chapter 8 A collaborated federated learning for healthcare informatics: solution and challenges
• Chapter 9 Privacy and profit: the dual benefits of federated learning in metaverse healthcare systems
• Chapter 10 The metaverse shift: adapting to decentralized computing in federated learning for healthcare
• Chapter 11 Federated learning for predictive modeling of disease prevention in metaverse
• Chapter 12 Integrating real-time data with predictive models for early disease detection in metaverse healthcare
• Chapter 13 Augmented reality wearables for health monitoring in the metaverse: enhancing patient engagement and clinical outcomes
• Chapter 14 Adapting to decentralization: the evolution of computing paradigms and machine learning in federated learning
• Chapter 15 Privacy-preserving secure computation: bridging traditional healthcare and metaverse telemedicine
• Chapter 16 Breaking the boundaried and optimizing healthcare in the metaverse through federated learning
• Index