The integration of Large Language Models (LLMs) into the clinical environment represents one of the most significant shifts in healthcare technology since the advent of the Electronic Health Record (EHR). While early-stage models demonstrated an extraordinary capacity for passing standardized medical licensing examinations, a profound "benchmarking gap" has emerged between academic performance and clinical readiness. Traditional evaluations, often centred on multiple-choice f

The global healthcare ecosystem is currently navigating a period of profound re-architecting, driven by the convergence of massive digital health data repositories and the unprecedented reasoning capabilities of Large Language Models (LLMs). This transition represents a departure from traditional, rule-based clinical decision support systems toward dynamic, generative architectures capable of interpreting the vast complexities of human physiology and clinical narrative. The