This book brings together leading scholars, technologists, clinicians, and designers to investigate the scientific foundations, applications, and implications of continuous health monitoring. It delves into breakthroughs in biosensing, neural interfaces, digital twins, and AI-driven analytics that enable real-time physiological and behavioral insights. Through a series of interdisciplinary chapters, it showcases how wearable AI systems integrate seamlessly with metaverse platforms to deliver personalized, preventive, and participatory healthcare experiences. Beyond technological innovation, the volume critically engages with the ethical, regulatory, and social dimensions of this transformation. It addresses pressing questions around data privacy, algorithmic transparency, equity, and the psychological impact of health virtualization. The discussions extend to global health policy, digital inclusion, and the future of medical governance in AI-enhanced environments. Key Features:This book investigates recent innovations in AI-driven wearable technology for ongoing health surveillance. It offers an extensive perspective on how the metaverse augments AI-driven healthcare solutions. This book examines the legislative, ethical, and privacy problems associated with the integration of wearable AI into virtual settings.
