Key result
An AI algorithm applied to single-lead ECGs from an ECG-enabled stethoscope detected LVEF ≤40% with an AUROC of 0.85 (95% CI 0.81-0.89) at the pulmonary position.
Why the study?
Most patients with HFrEF (LVEF 40% or lower) are diagnosed in hospital despite earlier primary care presentations, motivating validation of a point-of-care screening tool.
Does an artificial intelligence algorithm applied to a single-lead ECG during a stethoscope examination accurately detect LVEF ≤40% in adults attending for echocardiography?
Observational (n=1,050)
Yes
Does an artificial intelligence algorithm applied to a single-lead ECG during a stethoscope examination accurately detect LVEF ≤40% in adults attending for echocardiography?
Effect estimate: AUROC 0.85 (95% CI 0.81-0.89)
p-value: p=0.02
An AI algorithm applied to a single-lead ECG acquired via a digital stethoscope can accurately detect reduced left ventricular ejection fraction, offering a non-invasive, point-of-care screening tool for heart failure.
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AI stethoscope ECG may enable earlier HFrEF detection in primary care; hypothesis-generating and requires prospective validation before adoption.
A 2022 study conducted an observational in Heart failure with reduced ejection fraction (n=1,050). AI-ECG via ECG-enabled stethoscope vs. Transthoracic echocardiogram was evaluated on Performance of AI-ECG at classifying reduced LVEF (LVEF ≤40%) (AUROC 0.85, 95% CI 0.81-0.89, p=0.02). An AI algorithm applied to single-lead ECGs from an ECG-enabled stethoscope detected LVEF ≤40% with an AUROC of 0.85 (95% CI 0.81-0.89) at the pulmonary position.
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