Echoes Over Time: Detecting Heart Defects in Newborns

Explore a 35-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2024 that delves into the detection of heart defects in newborns using advanced computational techniques. Discover how deep learning and anomaly detection methods are applied to echocardiograms for predicting pulmonary hypertension and ejection fraction in infants. Learn about the latest research in using dynamic variational trajectory models for identifying anomalies in echocardiographic data. Gain insights into the intersection of computer vision, machine learning, and healthcare as applied to neonatal cardiology.