News | Stethoscopes | October 26, 2018

Eko, Mayo Clinic Collaborating on AI-Based Heart Disease Detection

Eko’s software and smart digital stethoscope combined with Mayo’s vast data and tech aims to help physicians with earlier detection of life-threatening conditions

Eko, Mayo Clinic Collaborating on AI-Based Heart Disease Detection

October 26, 2018 — Eko, creators of a machine learning-based heart and lung monitoring platform, announced a collaboration with Mayo Clinic to develop a data-driven technology to help physicians detect potentially dangerous heart diseases that may otherwise be missed. The two entities will work together to develop and commercialize a machine learning-based algorithm with a smart digital stethoscope that screens patients for the presence of a low ejection fraction. Once identified, evidence-based treatments are available that prolong life and reduce the risk of symptoms.

The technology leverages the Mayo Clinic’s vast cardiovascular database and their expertise in medical artificial intelligence (AI) and heart disease screening, and combines it with Eko’s cardiac monitoring platform. Traditionally, ejection fraction is measured by imaging techniques such as echocardiography, which is a powerful but expensive and time-consuming test that is less accessible to most people in North America and around the world than a doctor with a stethoscope. With this algorithm, Eko can help screen patients in seconds in the doctor’s office. Because the Eko tool can be used by any healthcare provider, it may detect heart function abnormalities earlier and in patients who might not otherwise be screened for heart disease.

“With this collaboration we hope to transform the stethoscope in the pocket of every physician and nurse from a hand tool to a power tool,” said Paul Friedman, M.D., chair of cardiovascular medicine at Mayo Clinic in Rochester, Minn. “The community practitioner performing high school sports physicals and the surgeon about to operate may be able to seamlessly tap the knowledge of an experienced cardiologist to determine if a weak heart pump is present simply by putting a stethoscope on a person’s chest for a few seconds.”

Eko aims to gain U.S. Food and Drug Administration (FDA) approval for the technology after running clinical studies with Mayo Clinic to demonstrate the safety and effectiveness of the algorithms for in-clinic screening.

Mayo Clinic and Friedman have financial interest in the technology referenced in this press release. Mayo Clinic will use any revenue it receives to support its not-for-profit mission in patient care, education and research.

For more information:

Related Content

Videos | Artificial Intelligence | November 07, 2019
Piotr J. Slomka, Ph.D., FACC, research scientist in the Artificial Intelligence in Medicine Program, Department of...
AI Could Use EKG Data to Measure Patient's Overall Health Status

Image courtesy of iStock

News | Artificial Intelligence | August 29, 2019
In the near future, doctors may be able to apply artificial intelligence (AI) to electrocardiogram data in order to...
Half of Hospital Decision Makers Plan to Invest in AI by 2021
News | Artificial Intelligence | August 08, 2019
A recent study conducted by Olive AI explores how hospital leaders are responding to the imperative to drive efficiency...
Artificial Intelligence Solution Improves Clinical Trial Recruitment

A nurse examines a patient in the Emergency Department of Cincinnati Children’s, where researchers successfully tested artificial intelligence-based technology to improve patient recruitment for clinical trials. Researchers report test results in the journal JMIR Medical Informatics. Image courtesy of Cincinnati Children’s.

News | Artificial Intelligence | July 31, 2019
Clinical trials are a critical tool for getting new treatments to people who need them, but research shows that...

An example of AI-assisted automation developed by TomTec, where a deep learning algorithm automatically marks the myocardial borders and performs auto quantification This removes time consuming tasks to free up the operator to spend more time with patients and helps make exams more reproducible.

Feature | Artificial Intelligence | July 26, 2019
Intelligent software solutions (aka...
vRad Presents AI Model to Assess Probability of Aortic Dissection
News | Artificial Intelligence | July 01, 2019
vRad (Virtual Radiologic), a Mednax company recently made a scientific presentation, “Screening for Aortic Dissection...
Videos | Artificial Intelligence | June 28, 2019
This is a quick example of how artificial intelligence (AI) is being integrated on the back end of cardiac ultrasound
Overlay Init