Full Description
This book bridges cutting-edge technology with practical healthcare applications, offering readers a front-row seat to the transformation of patient care, diagnostics, training, and system management. These technologies enhance diagnostics, patient engagement, and care delivery by creating smarter, more connected, and patient-centric systems. This book is organized into four key sections. The first part focuses on AI's role in diagnostics, predictive analytics, and early disease detection, showcasing how machine learning and data analysis improve accuracy and timeliness. The second part investigates metaverse applications, including virtual consultations, immersive therapies, and the design of mobile health (mHealth) solutions tailored for older adults, emphasizing accessibility and inclusivity. The third section presents integrated AI and metaverse solutions, such as digital twins, XR, edge computing, and real-time healthcare deployments, illustrating the potential for dynamic and intelligent care environments. The final part discusses critical issues surrounding data privacy, ethical governance, and security within virtual healthcare settings, highlighting blockchain-enabled approaches to safeguard sensitive information. Aimed at a broad audience of researchers, developers, healthcare providers, and policymakers, this book combines practical examples, theoretical approaches, and case studies to offer a comprehensive roadmap. The synthesis of these emerging technologies envisions a future healthcare paradigm that balances technological innovation with ethical considerations and patient-centered care principles. Whether you are a healthcare professional, technologist, policymaker, or innovator, this book provides invaluable insights into:
AI in Smart Healthcare Systems
Metaverse in Medicine
AI-Infused Metaverse Solutions
Security, Privacy, and Ethics
Patient-Centric Healthcare Ecosystems
Immersive Healthcare Experiences
Inclusive mHealth Design
Edge, Fog, and Cloud Integration
Neuroimaging and Predictive Analytics
Contents
The Role of Artificial Intelligence in Smart Healthcare Systems.- Data Analytics for Smart Healthcare Systems: Bridging Patient and Provider Needs.- Integration of AI-based for Seamless Operations in Smart Healthcare Systems.- AI-Driven Imaging and Diagnostics in Smart Healthcare Systems.- Early Detection and Prevention Strategies in Smart Healthcare Systems.- Advanced Techniques for the Early Detection of Alzheimer's Disease Using Neuroimaging and Machine Learning.- Artificial Intelligence in Smart Healthcare Systems - Roles, Computer Vision and Imaging, Detection, and Strategies.- Definition of Metaverse in the Framework of Smart Healthcare System.- Integration of Metaverse Technologies in Smart Healthcare Systems.- A Human-Centered Design Framework for mHealth in Healthcare to Increase Healthy Aging.- Virtual Health Consultations and Telemedicine: Case Studies of Successful Virtual Healthcare Services.- Introduction to AI-Infused Metaverse Solutions in Healthcare.- Theoretical Foundations of AI-Infused Metaverse Solutions in Healthcare Systems.- Data Integration Challenges in AI-Infused Healthcare Metaverse.- Revolutionizing Remote Patient Monitoring with AI-infused Metaverse Technologies.- Applications of Fog, Edge, and Cloud-based Deployment of AI-infused Metaverse Integration in Smart Healthcare.- Digital Twins, and Extended Reality for AI-infused Metaverse Solutions for Smart Healthcare Systems.- Successful Case Studies in the Implementations of AI-infused Metaverse Solutions for Smart Healthcare Systems.- Edge and cloud-based deployment of AI-Driven Metaverse Integration in Smart Healthcare.- Blockchain technology, enabling security and privacy of AI-driven Metaverse Integration in Smart Healthcare.- Security and Privacy Concerns in AI-Infused Metaverse Solutions for Smart Healthcare Systems.- Navigating Legal and Ethical Guidelines of AI-Driven in Smart Healthcare Systems.- Data Privacy in Virtual Healthcare Environments and Ethical Guidelines for Metaverse Health Applications.
