What You Should Know:
- The FDA granted Emergency Use Authorization to Eko for an ECG-based algorithm that screens for low ejection fraction, as part of an assessment of cardiac complications and co-morbidities associated with COVID-19.
- This ECG-based deep learning algorithm, developed on a large clinical dataset in collaboration with the Mayo Clinic, can help efficiently identify signs of possible heart failure in patients.
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Eko Devices
Eko Unveils Redesigned Smart Stethoscope and Stethoscope Attachment
- Eko unveils the second generation of CORE products, which includes a smart stethoscope and a stethoscope attachment designed to make any existing stethoscope smarter.- The technological advancements of the CORE include active noise cancellation, sleeker design, and powerful software to allow medical professionals to more effectively screen for heart disease.- The CORE Digital Attachment ($199) and the fully assembled CORE Digital Stethoscope ($249) are available for pre-order now to healthcare
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Heart Failure is Detectable at Point of Care Using ECG-Enabled Stethoscope, Mayo Clinic and Eko Finds
- Eko and Mayo Clinic announced they have proven that heart failure is detectable during routine physical exams, further validating the Eko DUO digital stethoscopes as a heart failure screening tool. - Today’s news marks the first time that a point of care device with a single lead ECG combined with an AI algorithm identified low ejection fraction in patients.- The results of these findings, which are comparable to research published earlier this year in NatureMedicine, were presented over the
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Eko Raises $20M to Expand Machine Learning Platform for Cardiac Monitoring/Analysis
- AI-driven digital health startup Eko raises $20M led by ARTIS Ventures with participation from 3M and Mayo Clinic.
- Funding will be used to accelerate research and development (R&D) and commercialization of Eko’s machine learning platform for cardiac screening/analysis.
- Eko’s cardiac monitor combines digital stethoscope and ECG technology both for in-clinic and at-home monitoring, which enables patients to seamlessly and consistently send cardiac data to their
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Backed by Mayo Clinic Study, Eko Launches Cardiac Remote Monitoring App, Eko Home
Currently being used in a study by Mayo Clinic, cardiac monitoring app Eko Home enhances outpatient cardiac data collection and demonstrates real world efficacyEko, a Silicon Valley-based digital health company applying machine learning in the fight against heart disease, today announced its cardiac remote monitoring app, Eko Home. The app is a first-of-its-kind service that enables precise remote monitoring of cardiac function using ECG and heart sounds. Eko Home can be used to create drug-data
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Eko Unveils Investigational Aortic Stenosis (AS) Detection Algorithm
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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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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