AI-Driven Analysis of the Fetal Left Ventricular Outflow Tract: Diagnostic Value and Applications
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The authors aimed to develop and validate a deep-learning pipeline for identifying left ventricular outflow tract (LVOT) views in obstetric screening images and assessing their quality based on predefined criteria. Their findings demonstrated substantial agreement with expert evaluations, indicating that the automated system could effectively enhance quality assurance and training in fetal cardiac screening. The high sensitivity and specificity of the algorithm suggest its potential utility in routine clinical practice.
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