Google claims its technology can predict heart disease risk by examining eye scans.
“They’re taking data that’s been captured for one clinical reason and getting more out of it than we currently do,” Luke Oakden-Rayner, a medical researcher from the University of Adelaide, told The Verge. “Rather than replacing doctors, it’s trying to extend what we can actually do.”
The research behind the power of the eye to reveal the health of a person is already well-established, according to The Verge. Numerous blood vessels at the back of the eye can give a picture of characteristics like age, blood pressure, and whether or not a person smokes. Taken together, they can indicate heart health.
Google ran tests on 300,000 people to build its technology. They used machine learning to build an algorithm based on eye scans and other health tests from the individuals that were part of the data set, The Verge reported.
Google’s algorithm isn’t perfect. But it’s imperfections are on par with established methods. The algorithm could correctly pick out a patient that experienced a heart attack, stroke, or a related event 70 percent of the time. That’s on par with the common method that requires blood tests and has 72 percent accuracy, according to The Verge.
Alun Hughes, a professor at University College London thinks Google may be on to something due to a “long history of looking at the retina to predict cardiovascular risk,” but he still thinks the algorithm merits further tests to be certain, The Verge reported.
The Verge thinks Google’s research offers a new potential for the use of artificial intelligence, and a new direction for diagnosing medical conditions.
Friends Read Free