Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients
Parasternal line
Fraction (chemistry)
DOI:
10.1016/j.echo.2023.01.015
Publication Date:
2023-02-07T06:57:35Z
AUTHORS (5)
ABSTRACT
Significant interobserver and interstudy variability occurs for left ventricular (LV) functional indices despite standardization of measurement techniques. Artificial intelligence models trained on adult echocardiograms are not likely to be applicable a pediatric population. We present EchoNet-Peds, video-based deep learning algorithm, which matches human expert performance LV segmentation ejection fraction (EF).
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