Metaverse and AI in Healthcare

Name: Metaverse and AI in Healthcare
Price: 200 USD
Availability: InStock
ISBN: 9780443449581

A Federated Learning Approach

by Jyotir Moy Chatterjee, Shubham Mahajan

1st Edition

Publisher: Academic Press

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Book Details

Print ISBN	9780443449581
eText ISBN	9780443449598
Publisher	Academic Press
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	414

Metaverse and AI in Healthcare: A Federated Learning Approach, 1st Edition is a reference that examines how artificial intelligence and metaverse technologies integrate into medical platforms. The publication details how federated learning facilitates secure, decentralized data sharing to support personalized medicine across virtual health environments.

The text divides its content into four distinct parts focused on artificial intelligence foundations, metaverse applications, legal and cybersecurity challenges, and strategic trends. It incorporates research on predictive modeling for Alzheimer's disease using MRI images paired with machine learning algorithms. Additionally, the volume outlines heart disease prediction methodologies through a weighted rivalry-based ensemble learning approach combined with federated learning models.

As a defining feature, the publication highlights metaverse-enabled digital twin frameworks designed for healthcare systems. This reference offers target material for graduate students, researchers, industry professionals, and academic specialists in computer science, federated learning, biomedical engineering, and digital healthcare.

Chapter 1: Introduction to the Convergence of Metaverse, AI, and Federated Learning in Healthcare
Chapter 2: Exploring the Potential of Deep Learning for Transcription Factor Binding in Deoxyribose Nucleic Acid
Chapter 3: Predictive Modeling of Alzheimer's Disease using MRI Images & Machine Learning Algorithms
Chapter 4: Heart Disease Prediction using RBA: A Weighted Rivalry-Based Ensemble Learning Approach
Chapter 5: Federated Learning and Machine Learning for the Detection of Heart Diseases
Chapter 6: Predictive Modelling for Disease Prevention
Chapter 7: A Resilient Federated Learning-Based Cybersecurity Framework for Healthcare Systems
Chapter 8: ARFIT: Redefining Fitness through Immersive Augmented Reality Experiences
Chapter 9: Metasports in the Metaverse Era: A New Frontier for Athlete Performance and Health
Chapter 10: Augmented Reality for Pediatric Rehabilitation: Legal Considerations for Disabled Children in India
Chapter 11: Metaverse-Enabled Digital Twins: Building Intelligent and Ethical Healthcare Systems
Chapter 12: A Critical Evaluation of Blockchain Integration in Smart Healthcare System
Chapter 13: Legal Perspectives on Cybersecurity for Digital Health Platforms Serving Disabled Children in India
Chapter 14: Mitigating Bias in AI-Driven Burnout Risk Predictions for Optimal Staff Scheduling in Healthcare
Chapter 15: Improving Cardiac MRI Analysis through Real-time Object Detection with YOLOv8
Chapter 16: Digital Twin-Driven Cancer Survival Prediction: Machine Learning and EHR Integration for Smart Hospitals
Chapter 17: ChatGPT in Medicine: Partnering with Doctors for Better Healthcare
Chapter 18: Artificial Intelligence Based Medical Tourism in 2024 and Beyond: Emerging Trends, Challenges, and Strategic Imperatives