Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis.

Hierarchical agglomerative clustering also facilitated to identify a cluster with significantly reduced AGV mean ; however, the two segregated clusters were vastly overlapping as demonstrated by the first two dimensions of a PCA as well as by a correlation plot depicting AGV mea n and cardiac output, and subsequently, 2-year survival differences did not reach statistical significance ( Supplementary material online , Figure S6 ).

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