This prospective, multi-reader, randomized crossover trial evaluates SCOUT (Scalable Clinical Oversight via Uncertainty Triangulation), a model-agnostic meta-verification framework that selectively defers unreliable large language model (LLM) predictions to clinicians by triangulating three orthogonal uncertainty signals: model heterogeneity, stochastic inconsistency, and reasoning critique. The trial assesses whether SCOUT-assisted review can reduce physician review time compared with standard manual review of AI-generated diagnoses while maintaining non-inferior diagnostic accuracy in coronary heart disease (CHD) subtyping.
Board-certified or in-training cardiologists at Fuwai Hospital
Spanning three experience strata: junior residents, senior residents, attending physicians
Clinicians involved in the development or optimization of the SCOUT framework
Clinicians involved in the gold-standard adjudication process