Early Referral in Aortic Disease: Expanding Options, Improving Outcomes

• May 4, 2026

Hybrid data balancing and ensemble learning with SHAP-based explainability to predict cardiovascular disease using a unified dataset

• by Khandaker Mohammad Mohi Uddin, Abdullah, Chowdhury Mohammad Rakin Haider

• October 12, 2026

Deep learning model using ECGs during sleep studies can predict cardiovascular outcomes

• October 9, 2026

Predicting Neonatal Hypoxia in dTGA/IVS Remains Challenging, Heightens Need for High-Risk Delivery Planning

Christopher Lindblade, MD, co-author of a 2026 Journal of the American Society of Echocardiography study, shares how factors seen on fetal echocardiography support the Phoenix Children’s model for performing urgent bedside balloon atrial septostomy for babies with neonatal hypoxia.

• by

• October 15, 2026

• 7 min