Fig. 2: Multicentre EchoNext performance.
From: Detecting structural heart disease from electrocardiograms using AI
Performance of the model in detection of individual and compositive SHDs. a,b, By AUROC (a) and AUPRC (b), the model had high performance in detection of SHD in the internal eight-hospital NYP system test set and three geographically distinct external test sets (Montreal Heart, Cedars-Sinai and University of California San Francisco (UCSF)). c, Individual disease models had the highest performance in the detection of reduced low left ventricular (LV) and right ventricular (RV) systolic function by AUROC with favourable performance for other disease states. d, Assessment of the AUPRC for the individual disease states is highly dependent on the underlying prevalence of the individual disease states. TR, tricuspid regurgitation. Dashed lines (a,c) indicate random classifier.
