Elsevier Metaverse and AI in Healthcare: A Federated Learning Approach

Metaverse and AI in Healthcare: A Federated Learning Approach addresses the transformative integration of artificial intelligence and metaverse technologies in healthcare. The book fills a critical gap by exploring how federated learning enables secure, decentralized data sharing and personalized medicine in virtual health platforms, meeting urgent demands for privacy, interoperability, and innovation. The book is structured into four parts covering foundational AI and federated learning concepts, augmented reality and metaverse applications, legal and cybersecurity challenges, and emerging strategic trends. Contributors from academia and industry present chapters on predictive modeling, cybersecurity frameworks, AR fitness, legal perspectives, and AI-driven medical tourism which are supported by case studies and technical explanations. This reference equips graduate students, researchers, and professionals in academia and industry who specialize in computer science, federated learning, biomedical engineering, and digital healthcare with practical knowledge and forward-looking analysis. Explores cutting-edge AI and federated learning applications in healthcare Provides practical guidance on privacy and cybersecurity in digital health Integrates emerging metaverse and augmented reality technologies Presents multidisciplinary perspectives with diverse expert contributors Includes real-world case studies and future trends in healthcare innovation