Study Highlights AI’s Role in Expanding Access to Early Detection
The study enrolled 2,960 adults from four U.S. healthcare networks undergoing echocardiography. Researchers captured patient data using Eko’s ECG-enabled digital stethoscope, ensuring echocardiograms were performed within one week of data collection. The AI model was evaluated against echocardiographic EF measurements, categorizing patients into two groups: normal/mildly reduced EF (>40%) and moderate/severely reduced EF (≤40%).
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The AI model demonstrated strong predictive performance, achieving an AUROC of 0.85, with sensitivity and specificity of 77.5% and 78.3%, respectively. Among individuals flagged by the AI as potentially having low EF but whose echocardiograms showed EF >40%, 25% had an EF between 41-49%, and 63% had conduction or rhythm abnormalities, suggesting the AI model's potential role in identifying patients who may still be at cardiovascular risk. Performance was consistent across various demographic and clinical subgroups, reinforcing its broad applicability in clinical settings.
For more insights into Eko Health and its portfolio of transformative cardiopulmonary solutions, please visit www.ekohealth.com.
About Eko
Eko Health is a leading digital health company advancing how healthcare professionals detect and monitor heart and lung disease with its portfolio of digital stethoscopes, patient and provider software, and AI-powered analysis. Its FDA-cleared platform, used by over 500,000 healthcare professionals worldwide, allows them to detect earlier and with higher accuracy, diagnose with more confidence, manage treatment effectively, and ultimately give their patients the best care possible. Eko Health is headquartered in Emeryville, California, with over $165 million in funding from ARTIS Ventures, DigiTx Partners, Double Point Ventures, EDBI, Highland Capital Partners, LG Technology Ventures, Mayo Clinic, Morningside Technology Ventures Limited, NTTVC, Questa Capital, and others.
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