News | Artificial Intelligence | November 11, 2018

AI Algorithm Outperforms Most Cardiologists in Heart Murmur Detection

Eko’s heart murmur detection algorithm outperformed four out of five cardiologists in recent clinical study

AI Algorithm Outperforms Most Cardiologists in Heart Murmur Detection

November 12, 2018 — At the American Heart Association’s (AHA) Scientific Sessions 2018, Nov. 10-12 in Chicago, Eko presented a clinical study abstract revealing the first murmur detection algorithm to outperform the majority of participating cardiologists. Entitled “Artificial Intelligence Detects Pediatric Heart Murmurs With Cardiologist-Level Accuracy,” the study demonstrates the power of machine learning and artificial intelligence (AI) to enhance cardiac care.

The neural network AI algorithm was trained on thousands of heart sound recordings. The algorithm was then tested on an independent dataset of pediatric heart sounds and compared to gold-standard echocardiogram imagery. Five pediatric cardiologists also listened to the heart sound recordings and independently made a determination whether a recording contained a murmur. This advancement will help narrow the clinical skill gap between the 27,000 cardiologists in the U.S. — the experts at murmur detection — and the 3.8 million other clinicians who are less experienced in the identification of heart murmurs through a stethoscope.  

A study published in the Journal of the American Medical Association revealed that, on average, internal medicine and family practice physician residents misdiagnose 80 percent of common cardiac events.1 Cardiologists on the other hand, can effectively diagnose 90 percent of cardiac events using a stethoscope.2

“When it comes to healthcare, data almost always leads to better results because practitioners are able to make more informed decisions,” said Nicholas Slamon, M.D., pediatric critical care physician at Nemours Children’s Health System, Delaware. “Eko’s technology is leveraging the largest available dataset of previously captured heart sounds to elevate the skills of clinicians and in turn provide guidance on how to diagnose, and subsequently treat, serious, often fatal cardiac conditions. It’s a powerful advancement for the world of medicine.”

Eko’s murmur screening algorithm, when coupled with the company’s U.S. Food and Drug Administration (FDA)-cleared Eko Core and Eko Duo devices, will enable any and all clinicians to more accurately screen for heart murmurs.

Eko is currently pursuing FDA clearance for the algorithm and will be rolling it out with its existing cardiac monitoring devices upon securing regulatory clearance.

For more information: www.ekohealth.com

References

1. Mangione S., Nieman L.Z. Cardiac auscultatory skills of internal medicine and family practice trainees. A comparison of diagnostic proficiency. Journal of the American Medical Association, Sept. 3, 1997. doi:10.1001/jama.1997.03550090041030

2. Thompson W.R. In defence of auscultation: a glorious future? Heart Asia, Feb. 1, 2017. doi:  [10.1136/heartasia-2016-010796]

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