A.I. and the future of heart health

Medical startup Eko Health has launched an A.I. powered heart disease detection platform that connects with the companies digital stethoscopes, allowing healthcare workers to identify potential symptoms of the illness in its earlier stages.

“We’ve called it Shazam for heartbeats. You know Shazam, the music identification app that helps you figure out what song is playing in Starbucks. We do the same thing, but for heart sounds.”

Their Sensora platform, which was cleared by the FDA last summer, allows healthcare workers to identify structural murmurs earlier on in the diseases progression, leading to better outcomes for patients.

“Instead of finding the song that’s playing, we determine whether there is heart disease or not,” Landgraf declared. “Then we provide that notification to the clinician with an app that runs on a smartphone or tablet. The physician gets that interpretation right there in the exam room, and they then make their decision about next steps for the patient.”

To train the A.I. detection model inside of their Sensora platform, Eko partnered with a number of health networks, collecting data from hundreds of thousands of patients with different types of cardiovascular disease.

“We were able to see a very substantial increase in diagnostic accuracy, specifically around sensitivity. If a physician hears something, they’re pretty good at knowing what they hear. If they hear a murmur, most of the time they are correct and they did hear that. But there are still a lot of cases where there are murmurs but they’re very subtle, and the physician doesn’t necessarily hear it. So what we can provide is additional accuracy to make sure that physicians didn’t miss any patients who have more subtle signs of disease,” Landgraf explained.

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