This thesis explores the groundbreaking possibilities that emerging technologies, specifically artificial intelligence (AI) and the metaverse, present for the future of healthcare. The research delves into how these innovations can revolutionize medical information management, turning healthcare into a more predictive, preventive, precise, and effective system aimed at significantly improving patient outcomes.

The study critically evaluates the potential of AI to optimize every phase of medical care—ranging from diagnosis to treatment and follow-up—by harnessing patient data in unprecedented ways. Additionally, it investigates the transformative role of the metaverse in digitally representing individuals' biological and health profiles, thereby establishing a secure and interoperable medical identity.

The primary objective of this thesis is to understand how the integration of AI and the metaverse will build a digital infrastructure capable of realizing the long-standing goal of preventive, predictive, and personalized medicine. This research also addresses the barriers and systemic changes necessary to implement these disruptive technologies within existing healthcare ecosystems.

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