Coarctation of Aorta Detection

Coarctation of Aorta Detection

Description

This study aimed to improve the detection of isolated coarctation of the aorta (CoA) using artificial intelligence (AI) during the 18-22-week fetal anomaly scan. An AI model that performed automated cardiac biometric measurements achieved a high predictive accuracy with an area under the ROC curve of 0.96, sensitivity of 90.4%, and specificity of 88.9%. The AI-enhanced approach identified significant differences in cardiac measurements between fetuses with postnatal CoA and healthy controls, potentially improving prenatal screening and early detection of CoA.

Creator

Information

Pediatrics or Adult

Pediatric

Speciality

Cardiology

Modality

Fetal Echocardiogram

Training

CoA (n = 73) and healthy control (n = 7300) echocardiograms

Github

Publication

FDA

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