Search Results - "Vavrik, B"

A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG by Demolder, A, Herman, R, Vavrik, B, Martonak, M, Boza, V, Herman, M, Palus, T, Kresnakova, V, Bahyl, J, Iring, A, Hatala, R, Bartunek, J, Vanderheyden, M, Heggermont, W, Penicka, M

“…Abstract Background Despite echocardiography being essential for cardiac assessment, a point-of-care tool for rapid left ventricular ejection fraction (LVEF)…”
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Validation of an artificial intelligence model for 12-lead ECG interpretation by Demolder, A, Herman, R, Vavrik, B, Martonak, M, Boza, V, Herman, M, Palus, T, Kresnakova, V, Bahyl, J, Iring, A, Nelis, O, Fabbricatore, D, Perl, L, Hatala, R, Bartunek, J

“…Abstract Background The electrocardiogram (ECG) is one of the most accessible and comprehensive diagnostic tools to assess cardiac abnormalities. However,…”
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Deep learning for mortality prediction in patients with a de-novo or worsened heart failure by Herman, R, Vanderheyden, M, Vavrik, B, Beles, M, Palus, T, Kepesiova, Z, Goethals, M, Verstreken, S, Dierckx, R, Heggermont, W, Bartunek, J

“…Abstract Background Heart failure (HF) is a heterogenous syndrome with complex pathophysiology. Biomarkers and clinical risk scores often fail to provide…”
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