Full Description
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.
Contents
Virtual Clinics and Hospitals: Transforming Healthcare in the Digital Age
Navigating the Virtual Frontier: Challenges and Solutions for Ethical Federated Learning in Metaverse Healthcare in India
Review of Deep Reinforcement Learning and Artificial Neural Networks in Healthcare Metaverse
Virtual Clinical and Hospital in India
Introduction to Metaverse Healthcare
Telemedicine in the Metaverse
Virtual Clinics and Healthcare Ecosystem
A Collaborative Federated Learning Approach for Healthcare Informatics: Solutions & Challenges
Privacy and Profit: The Dual Benefits of Federated Learning in Metaverse Healthcare Systems
The Metaverse Shift: Adapting to Decentralized Computing in Federated Learning for Healthcare
Federated Learning for Predictive Modeling of Disease Prevention in the Metaverse
Integrating Real-Time Data with Predictive Models for Early Disease Detection in Metaverse Healthcare
Augmented Reality Wearables for Health Monitoring in the Metaverse: Enhancing Patient Engagement and Clinical Outcomes
Adapting to Decentralization: The Evolution of Computing Paradigms and Machine Learning in Federated Learning
Privacy-Preserving Secure Computation: Bridging Traditional Healthcare and Metaverse Telemedicine
Breaking the Boundaries: Optimizing Healthcare in the Metaverse through Federated Learning
