SAN FRANCISCO, March 3, 2025 /PRNewswire/ — Eko Health, a leader in artificial intelligence (AI) for the early detection of heart and lung diseases, today announced the publication of a peer-reviewed study in JACC Advances evaluating its FDA-cleared AI model for detecting reduced ejection fraction (EF), a common marker of a weakened heart that can’t pump blood effectively (also known as heart failure with reduced ejection fraction, HFrEF). The study assessed the model’s ability to analyze heart sound and single-lead electrocardiogram (ECG) data recorded via a digital stethoscope to identify individuals with actionably low EF (EF≤40%).

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