the Convergence of Metaverse, AI, and Federated Learning in Healthcare Ecosystems

The convergence of the metaverse, artificial intelligence (AI), and federated learning reshapes the future of healthcare ecosystems by blending immersive digital environments with intelligent, privacy-preserving data systems. As virtual care platforms expand and AI-driven diagnostics become more sophisticated, federated learning enables institutions to train algorithms without sharing sensitive patient data, strengthening innovation and security. Together, these technologies may create patient-centered ecosystems where simulation, predictive analytics, and data governance enhance clinical decision-making and expand access to care. The Convergence of the Metaverse, AI, and Federated Learning in Healthcare Ecosystems explores the transformative convergence of three cutting-edge technological domains in medicine. It examines federated learning as the privacy-preserving machine learning paradigm that unlocks collaborative AI development. This book covers topics such as healthcare diagnostics, medical imaging, and wearable technology, and is a useful resource for business owners, engineers, medical and healthcare professionals, academicians, researchers, and scientists.