Medical Metaverse for Digital Healthcare, Gebunden

Klappentext

Step into the next dimension of healthcare with this essential guide to the Medical Metaverse, where AR, VR, and AI converge to redefine patient engagement, medical training, and surgical precision.

The rapid evolution of digital technologies is transforming every aspect of human life, and healthcare is no exception. Originally rooted in entertainment and social interaction, the concept of the metaverse is now permeating the medical field, giving rise to what we call the 'Medical Metaverse'. The metaverse, a shared virtual space combining physical and digital realities, is poised to offer novel ways to deliver patient care, improve medical training, and enhance patient engagement. This book delves into the exciting and rapidly evolving intersection of healthcare and metaverse technologies. It explores how augmented reality (AR), virtual reality (VR), artificial intelligence (AI), and other emerging digital tools are revolutionizing medical practices. This book is an essential guide for understanding the technologies that are transforming the healthcare landscape and how they can be applied in practical scenarios.

In addition to providing a comprehensive overview of these technologies, the book dives into real-world applications. From telemedicine and remote surgeries using AI-driven diagnostics and personalized treatments, the book highlights key innovations that are already making an impact. The authors discuss case studies, practical examples, and the potential for these technologies to address global healthcare challenges, such as improving access to care, reducing costs, and enhancing patient outcomes. Overall, this book provides a holistic understanding of both the promises and the pitfalls of the medical metaverse, making it a valuable resource for healthcare professionals, technologists, policymakers, and researchers alike.

Readers will find the volume explores advanced applications of augmented reality (AR), virtual reality (VR), artificial intelligence, and deep and machine learning algorithms for predictive modeling; showcases cutting-edge innovations emerging from research laboratories with the potential to transform factory-floor operations; demonstrates key risk factors, success factors, and performance metrics that can inform future research and development; and introduces advanced techniques for efficiently addressing the challenges of implementing real-time metaverse applications in healthcare.

Audience

Researchers, academics, industry professionals, research and development organizations, and healthcare professionals working in the fields of medical imaging, telemedicine, cybersecurity, data science, artificial intelligence, and image processing.