Google AI retinal scan predicts heart disease such as strokes and heart attacks, without performing any test or blood draws. The company has published its findings in the online medical journal – Nature Biomedical Engineering on Monday.

Published study reveals that this novel technique is much accurate for predicting the various cardiovascular diseases with the help of more invasive methods, which include attaching needle in the arms of patient.


Lily Peng, a leading researcher of the study and product manager at Google AI says in an official blog post that, “Using deep learning algorithms trained on data from 284,335 patients, we were able to predict CV risk factors from retinal images with surprisingly high accuracy for patients from two independent data sets of 12,026 and 999 patients.”

The new algorithms Google has introduced that involves human eye scanning are able to detect whether the person is suffering a condition of high blood pressure or at the risk of stroke or heart attack, according to the statement released by a team of Google researchers on Monday. The study opens a door for introducing with the new opportunity to artificial intelligence in the global health industry domain.

Peng added to write in the blog post that, “For example, our algorithm could distinguish the retinal images of a smoker from that of a non-smoker 71 percent of the time, compared to a ~50 percent (i.e. random) accuracy by human experts.”