Eko, a Berkeley-based digital health company applying artificial intelligence and machine learning in the fight against heart disease unveiled an investigational Aortic Stenosis (AS) detection algorithm at the American Society of Echocardiography (ASE) 2019 Scientific Sessions aimed to assist healthcare providers in the early detection of clinically significant AS. The algorithm represents a major step forward toward Eko’s mission to empower healthcare providers with tools to more accurately
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Eko Devices
Northwestern Medicine and Eko Launches AI Algorithms Heart Murmurs Study
Northwestern Medicine and Eko launches a new clinical study to validate algorithms that help providers more accurately screen for valvular heart disease with a digital stethoscopeToday Northwestern Medicine Bluhm Cardiovascular Institute and Eko have announced a partnership pioneering the use of artificial intelligence (AI) for cardiac screening in a new study of Eko’s cardiac monitoring platform. The study aims to demonstrate that Eko’s digital stethoscopes and AI algorithms can interpret heart
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3 Ways Artificial Intelligence Will Improve Healthcare in 2019
In 2019, artificial intelligence (AI) and machine learning tools will continue to help physicians make more informed decisions, hospitals achieve better outcomes, and patients receive more timely and personalized care. According to Becker’s Healthcare, artificial intelligence (AI) tools will save the healthcare industry $52 billion by 2021. Here are three of the biggest ways that AI is poised to shape healthcare in 2019.1. AI Will Unlock the Power of Virtual Medicine Telemedicine is helping to
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Eko’s AI Algorithm Detects Pediatric Heart Murmurs With Cardiologist-Level Accuracy
Eko’s heart murmur detection AI-driven algorithm outperformed four out of five cardiologists for the detection of heart murmurs in a recent clinical study.During the American Heart Association’s Scientific Sessions 2018, Eko, a cardiac monitoring company that combines non-invasive sensors with machine learning presented a clinical study abstract revealing their murmur detection algorithm outperformed the majority of participating cardiologists. The study entitled, “Artificial Intelligence
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Eko and Mayo Clinic Collaborate on Machine Learning Algorithm to Help Physicians Fight Heart Disease
Eko and Mayo Clinic collaborate on a machine learning-based algorithm to help physicians better screen for potentially dangerous heart diseases. Eko, creators of a heart and lung monitoring platform that combines non-invasive cardiac sensors with machine learning, has announced a collaboration with Mayo Clinic to develop and commercialize a machine learning-based algorithm that screens patients for the presence of a low ejection fraction – a weak heart pump. The collaborative effort combines
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Cardiac Monitoring Startup Eko Devices Raises $5M to Bring Intelligence to Heart Sounds
Eko, a San Francisco, CA-based platform of non-invasive cardiac screening devices, care coordination software, and machine learning algorithms has raised $5 million in Series A funding led by ARTIS Ventures. The round also included participation from Strategic Partners, Dreamlt Ventures, 1812 Ventures, and FOUNDER.org. Eko plans to utilize the funding to accelerate its commercial team and to expand clinical studies on the use of Eko's platform for valvular heart disease screening and heart
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Eko Duo Receives FDA Clearance to Market Combined Digital Stethoscope/ECG Smart Device
Eko Devices, a provider of mobile acoustic cardiac monitoring solutions has received FDA clearance to market its latest solution, Eko Duo, a smart heart monitor transforming how patients and their physicians monitor heart disease. Eko Duo combines the digital stethoscope and ECG for monitoring patients in the clinic or at home into a compact, handheld device.The DUO, which patients can obtain with a prescription, can seamlessly stream cardiac data (stethoscope + ECG) to specialists, providing
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