The National Institutes of Health’s (NIH) Department of Health and Human Services (HHS) awarded the grant. The grant will fund the development of a machine learning algorithm, according to a news release.
Eko said the algorithm detects and stratifies pulmonary hypertension (PH). It uses phonocardiogram (PCG) and electrocardiogram (ECG) data from Eko’s smart stethoscopes. To address challenges of ECG-based AI models for detecting PH, Eko partnered with Lifespan Health System’s Cardiovascular Institute.
The partnership collects real-world PCG and ECG data using the Eko Duo ECG + digital stethoscope. Eko plans to use the data to develop an algorithm that can detect PH and stratify its severity. Early identification can diagnose PH earlier and more accurately, leading to potentially life-saving interventions.
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