This chapter delves into the emerging intersection of artificial intelligence (AI) and metaverse technologies in healthcare, exploring how these innovations are beginning to reshape the way care is delivered, experienced, and managed. Through immersive tools like virtual reality (VR), augmented reality (AR), and AI-powered platforms, healthcare is evolving from a traditional, clinic-centered model into one that is more patient-centered, data-driven, and accessible—often from the comfort of a patient’s home. Grounded in real-world examples, such as the work of XRHealth and the virtual care initiatives at institutions like Stanford Health Care and Cedars-Sinai, the chapter illustrates how AI and the metaverse are being used to support stroke rehabilitation, manage chronic conditions, and enhance remote patient monitoring. These case studies show how intelligent systems can personalize treatments in real time, while virtual environments increase patient engagement and convenience. At the same time, the chapter critically examines the challenges that accompany these advancements. It discusses key barriers such as fragmented healthcare data, lack of interoperability between systems, cybersecurity risks, and ethical concerns around privacy, consent, and equitable access. The case of the UK’s NHS is used to highlight the real-world complexities of integrating digital health infrastructure at scale. The COVID-19 pandemic is presented as a turning point—one that accelerated digital transformation and opened doors to wider adoption of AI-driven virtual healthcare. By offering a structured framework for understanding how these technologies can be integrated into healthcare systems, the chapter provides both a roadmap and a reflection. It encourages healthcare professionals, technologists, and policymakers to consider not just what is possible, but what is responsible and sustainable as we move toward a more connected, virtual future of care.