Eko Receives FDA Approval for the First AI to Detect Signs of Heart Failure

by | Apr 2, 2024 | Artificial Intelligence

Eko Health has made progress in the area of cardiovascular health with its latest FDA clearance for an artificial intelligence-powered feature integrated into its stethoscope. This groundbreaking advancement enables the detection of an indicator of heart failure, known as low ejection fraction (EF), during routine physical examinations, potentially reshaping early diagnosis and intervention strategies. Traditionally, identifying heart failure, particularly low EF, has posed challenges in primary care settings due to limited access to specialized equipment like echocardiography, along with associated costs and time constraints. With the FDA clearance covering artificial intelligence capabilities that expand the functionality of Eko’s Sensora Cardiac Early Detection Platform, healthcare professionals now have a powerful tool at their disposal to detect low EF within 15 seconds during routine stethoscope exams. This innovative approach streamlines the diagnostic process and addresses longstanding barriers to early detection, thereby improving patient outcomes and reducing healthcare costs associated with advanced heart failure.

The newly cleared AI feature is a step forward for cardiac care, expanding the capabilities of Eko’s Sensora Cardiac Early Detection Platform. Developed in collaboration with Mayo Clinic, the AI utilizes machine learning algorithms trained on a proprietary dataset of over 100,000 ECGs and echocardiogram pairs from unique patients, ensuring performance across diverse patient populations. The FDA clearance follows rigorous testing, demonstrating the AI’s remarkable sensitivity, specificity, and accuracy in detecting low EF, with an area under the receiver operating characteristic (AUROC) of 0.835 for left ventricular ejection fraction (LVEF) below 40%. Independent validation studies conducted by Imperial College London further outline the effectiveness of this AI-powered solution, validating its performance and reliability in real-world clinical settings.

The importance of this innovation extends beyond early detection, aligning with Eko’s mission to revolutionize healthcare delivery through digital health solutions. By seamlessly integrating AI-powered analysis into stethoscope technology, Eko allows healthcare professionals to make informed clinical decisions swiftly and accurately, optimizing patient care and outcomes. The addition of the low EF detection AI to Eko’s Sensora platform complements existing features for identifying atrial fibrillation and structural heart murmurs, offering an in-depth cardiac early detection tool that enhances diagnostic capabilities and improves patient management strategies. The AI’s incorporation into a familiar tool like the stethoscope enhances accessibility and usability, particularly in resource-limited settings and underserved communities, ensuring equitable access to advanced cardiac care.

Eko plans a deliberate and strategic rollout of the low EF detection AI, prioritizing collaboration with select health systems to conduct early pilots and commercial studies before broader implementation. This approach shows Eko’s commitment to ensuring seamless integration and maximizing the impact of its AI solutions in real-world healthcare settings. By partnering with leading healthcare institutions and leveraging extensive clinical data, Eko aims to give all patients access to advanced cardiac diagnostics and improve healthcare results on a global scale. As the company continues to innovate and expand its AI capabilities, the future holds promising prospects for advancing early detection and management of cardiovascular diseases, ultimately enhancing patient outcomes and advancing healthcare delivery worldwide.

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