Learn How Stethoscopes with Artificial Intelligence can Signal Future Heart Issues
October 15, 2019
Watch this one minute video of Dr. Paul Friedman at the Mayo Clinic demonstrating how the DUO ECG + Digital Stethoscope paired with a suite of Eko signal processing algorithms can help provide clinical decision support to physicians during the evaluation of patients' cardiac health. Eko's algorithms analyze both heart sounds and single-lead ECGs through a neural network of thousands of other heart signals. Eko's algorithms are in development with the Mayo Clinic, Northwestern Medicine, and other research partners, and have not been FDA-Cleared.
"This is where it records sound, and I have it connected to a smartphone," explains Dr. Paul Friedman, a Mayo Clinic cardiologist, as he demonstrates a souped-up stethoscope that shows artificial intelligence in action.
The stethoscope not only digitally records the sounds heard by Dr. Friedman, it also records an electrocardiogram of the heart's electrical activity.
The data is run through a neural network — a computer system trained by crunching hundreds of thousands of sets of similar readings, so that it becomes expert in looking at a focused problem.
"It gets to a point where it gets very good at seeing very subtle patterns," says Dr. Friedman.
The result is a simple test that can read current heart conditions and, using those subtle patterns, predict possible future problems.
"Within 15 seconds, you have some of the skill of an expert cardiologist in your pocket," adds Dr. Friedman.
He says this type of artificial intelligence in diagnosis is the way of the future.
"We have plans to expand it, to hopefully prevent people from walking through our hallways, having a weak heart pump and having it undetected, when there are things we could do about it," concludes Dr. Friedman.
Clinicians at 4,000+ clinics, hospitals and health systems are working with Eko to improve cardiac screening. Shop the CORE & DUO Digital Stethoscopes today!