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Quantitative Prediction of Right Ventricular Problems May Transform Congenital Heart Disease Outcomes


A neural network-based electrocardiogram (ECG) interpretation algorithm developed at Mount Sinai is designed to predict the presence of right ventricular dilation and dysfunction based on cardiac magnetic resonance imaging (MRI) reference standards. This advancement has paved the way for novel screening techniques aimed at detecting right ventricular pathology.

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