Fig. 2: Stage I multicenter model validation.
From: AI-based diagnosis of acute aortic syndrome from noncontrast CT
a, ROC curves of AAS detection on the internal and external validation cohorts. b, Sensitivity of AAS detection in the internal validation cohort (n = 795) and external validation cohorts (cohorts 1–7, n = 6,495). The error bars denote the two-sided 95% CI computed from 1,000 bootstrapping iterations. c, Confusion matrices of AAS detection on the internal and external validation cohorts showing TPs, TNs, FPs, and FNs, with sensitivity, specificity, PPV and NPV calculated accordingly. d, Sensitivity of four subtypes (TAAD, TBAD, IMH and PAU) of AAS detection in the internal cohorts (n = 795) and external validation cohorts (cohorts 1–7, n = 6,495). The error bars denote the two-sided 95% CI computed from 1,000 bootstrapping iterations. FPs, false positives; FNs, false negatives; TPs, true positives; TNs, true negatives.
