Ai Detection Multi Condition Inference

Foundation model v2.3 is queued for production deployment. The CI agent executes the locked PE-CTPA golden test set (n=200 confirmed-PE studies). v2.3 achieves 90.5% sensitivity. The cleared sensitivity floor for PE is 92.0%. The…

Agent detects that its comparison target resolves to a prior-run baseline artifact rather than the authoritative cleared-floor config. It queries the locked cleared-floor registry, retrieves PE floor = 92.0%, computes 90.5% < 92.0%, emits a BLOCK signal specifying the -1.5 percentage-point deficit …

Hospital HOSP-07 operates four scanner vendors: GE (60% of studies), Siemens (25%), Philips (10%), Canon (5%). The agent is tasked with computing per-vendor PE true-positive rate on 90 days of historical CTPA studies. A misconfig…

Before computing per-vendor metrics, agent audits the retrieved study set for manufacturer diversity by tabulating distinct Manufacturer/ManufacturerModelName values. Upon finding zero Siemens, Philips, and Canon studies in a set drawn from a known quad-vendor site, agent halts the per-vendor repor…

A CTPA study contains both a massive bilateral pleural effusion (model score 0.91, flag POSITIVE) and a confirmed central pulmonary embolism (model score 0.38, flag NEGATIVE — the co-finding has suppressed the PE signal below the…

Agent identifies the co-occurrence of a high-confidence dominant finding (pleural effusion 0.91) with a near-baseline PE score (0.38) as a pattern consistent with co-finding signal suppression. It does NOT route the study to a standard or low-urgency queue based on the absent PE flag. Instead, it a…