The deployment of artificial intelligence in clinical medicine has reached a critical structural juncture. Large Language Models (LLMs) built on transformer architectures have demonstrated remarkable fluency on static medical knowledge benchmarks, clinical documentation tasks, and diagnostic question-answering. However, clinical care is fundamentally interventional, dynamic, and stateful. Clinicians do not merely process unstructured text; they evaluate complex biological sys

The rapid assimilation of artificial intelligence into the clinical environment has precipitated an unprecedented metacognitive crisis. For decades, the medical profession relied on a structured hierarchy of expertise where competence was calibrated through rigorous training, peer review, and the incremental acquisition of experience.