Detecting cardiomyopathies in pregnancy and the postpartum period with an electrocardiogram-based deep learning model.

An ECG-based deep learning model effectively identifies cardiomyopathy during pregnancy and the postpartum period and outperforms natriuretic peptides and traditional clinical parameters with the potential to become a powerful initial screening tool for cardiomyopathy in the obstetric care setting.