AI RESEARCH
Detecting low left ventricular ejection fraction from ECG using an interpretable and scalable predictor-driven framework
arXiv CS.AI
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ArXi:2603.28532v1 Announce Type: cross Low left ventricular ejection fraction (LEF) frequently remains undetected until progression to symptomatic heart failure, underscoring the need for scalable screening strategies. Although artificial intelligence-enabled electrocardiography (AI-ECG) has shown promise, existing approaches rely solely on end-to-end black-box models with limited interpretability or on tabular systems dependent on commercial ECG measurement algorithms with suboptimal performance. We.