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FDA-cleared ECG-AI for low ejection fraction detection
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Anumana develops ECG-AI algorithms that read standard electrocardiograms to detect hidden heart disease. It was founded by nference in partnership with Mayo Clinic, and its ECG-AI LEF algorithm received FDA 510(k) clearance in October 2023.
The algorithm analyzes a standard ECG and flags patients who may have low ejection fraction, so clinicians can follow up with confirmatory imaging. In the multi-site validation study, ECG-AI LEF reached 84.5% sensitivity and 83.6% specificity with an AUROC of 0.932. Clinicians make the diagnosis.
Health systems and clinicians screening patients at risk of heart failure. A Mayo Clinic trial of 22,641 adults found a 31% improvement in LEF diagnosis versus standard of care.
Anumana does not publish pricing. Quotes come from the vendor.
Us2.ai automates echocardiogram analysis, Eko Health pairs digital stethoscopes with AI murmur and ECG detection, and Ultromics analyzes echo for heart failure. Anumana works from the ECG.
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