Clinical Trial

Scalable Clinical Oversight of Large Language Models Via Uncertainty Triangulation

Study acronym: SCOUT
Not Yet Recruiting
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Record status
This record was last updated February 17, 2026 (before its estimated February 28, 2026 completion). Its status may not reflect the trial's current state.
Summary
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.
Trial Details
NCT Number NCT07414966
Lead Sponsor China National Center for Cardiovascular Diseases
Conditions Coronary Heart Disease (CHD)
Enrollment 7 participants
Start Date 2026-02-19
Primary Completion 2026-02-28 (estimated)
Study Completion 2026-02-28 (estimated)
Updated on ClinicalTrials.gov 2026-02-17