Furthermore, our proposed method addresses challenges related to the variability and complexity of cardiac data, aligning with current research that advocates for automated learning models in ...
With the growing number of high-risk pregnant women, echocardiography frequently reveals pericardial effusion (PE). However, the clinical implications of PE are unknown.We analyzed a cohort of 406 ...
Objectives Our objectives were to test a random forest (RF) model in detecting CA. Methods We used 3603 echocardiogram studies from 636 patients at Cedars-Sinai Medical Center to train an RF model to ...