In this chapter, AI integration, edge and cloud computing, and extended reality (XR) in the Metaverse are discussed. It explores AI strategies like deep learning, NLP, explainable AI, and federated learning that power immersive diagnostics, customized therapy, and intelligent clinical decision-making within the virtual environment. The book presents edge and cloud deployment architectures for real-time response and large-scale analytics, highlighting their synergy in facilitating scalable and secure healthcare systems. Particular emphasis is given to the complex security and privacy challenges introduced by continuous data streams, avatar-based interaction, and distributed infrastructures. On the basis of existing solutions and future trends analysis, the chapter dictates key lessons, architectural designs, and research directions required to develop ethical, secure, and adaptive AI-based Metaverse healthcare ecosystems.