This paper introduces ECGPD-LEF, a novel framework that integrates foundation model-derived diagnostic probabilities with interpretable modeling to detect low left ventricular ejection fraction (LEF) from ECGs. It achieves robust performance, outperforming existing black-box models, while providing clinical interpretability through identifiable high-impact predictors.