New Google Tech Uses Eye Scans To Predict Heart Attack

Gadgets |

As we creep ever close to the Singularity, the moment when an artificial intelligence becomes self-aware, machine learning is still a mostly benign and helpful force in our lives. Until the Terminator feet start stomping skulls in the post-nuke wasteland, we have a lot to be gained from our computer friends.

The Verge

A new machine learning tech developed by Google and Verily can allegedly predict cardiovascular health risk in patients based only on a photograph of their eye. The test is also allegedly as accurate a predictor of major cardiovascular incident as traditional medical tests. With just a picture of your eyeball, the program can tell whether you smoke, what your blood pressure is and how likely you are to have a heart attack.

Not just any photograph will work. The program needs a photo of the blood vessels inside the eye's lining, called the "retinal fundus." It compares the photo against a database of other fundus pics that are associated with medical profiles in order to make a prediction.

YourStory via Flickr

The medical community is excited about the new invention. As it stands, it stands toe to toe with more traditional (read: complicated and expensive) predictive blood vessel scanning techniques. It is likely to eventually surpass those methods in accuracy and speed, as well.


Like it? Share with your friends!

Share On Facebook