Pediatric CHD Detection
A deep learning-based method for pediatric congenital heart disease detection with seven standard views in echocardiography
Cardiology
Pediatric Echocardiogram Classification
An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence
EchoNet-Peds
Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients
Fetal Cardiac Biometrics
Improving Prenatal Detection of Congenital Heart Disease With a Scalable Composite Analysis of 6 Fetal Cardiac Ultrasound Biometrics
Neural Ensemble CHD Detection
An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease
PanEcho
Complete AI-Enabled Echocardiography Interpretation With Multitask Deep Learning
Pediatric Right Ventricular Assessment
AI learning for pediatric right ventricular assessment: development and validation across multiple centers
Prenatal CHD Screening
Deep learning model for prenatal congenital heart disease (CHD) screening generalizes to the community setting and outperforms clinical detection
AI-ECG Prediction of Biventricular Dysfunction
Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
Left Ventricular Dysfunction Prediction
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling