Published: Tue, February 20, 2018
Medical | By Jackie Banks

Google Artificial Intelligence to Predict Heart Disease

Google Artificial Intelligence to Predict Heart Disease

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.

"Cardiovascular disease is the leading cause of death globally".

Harlan Krumholz of Yale University who was not involved in the research believes technology could soon "turbo-charge" diagnosis.

"With medical images, observing and quantifying associations can often be hard because of the wide variety of features, patterns, colors, values, and shapes that are present in real data". Those scans helped train the networks on which telltale signs tended to indicate long-term health dangers. It was also able to deduce a persons age, blood pressure, and whether they smoke.

The true power of this kind of technological solution is that it could flag risk with a fast, cheap and noninvasive test that could be administered in a range of settings, letting people know if they should come in for follow-up.

The scientists work at Verily, formerly known as Google Life Sciences, and came up with the algorithm with the hope that it can make accurate evaluations of cardiovascular health more efficiently and easily compared to current methods. Diabetes and high blood pressure, for example, can cause changes in the retina. According to her, the operational methodology of the algorithm can in future allow Google to generate a heatmap that shows which pixels were the most important elements for a predicting a specific CV risk factor. Age and gender are powerful predictors of risk, without the need for any additional testing.

Pakistan begins seizing charities linked to US-wanted cleric
The following ordinance comes after Pakistan's interior ministry named Hafiz Saeed's JuD as one among 72 banned organisations. The Islamic Republic was on this list in February 2012, a tag which stayed with it for three years.

Sounds superficial? Well, it's a tested and proven method backed by Google's advanced artificial intelligence (AI) and machine learning in a project led by Alphabet's health-tech subsidiary Verily.

As part of the research, retinal images of two patients were presented, one of whom suffered a cardiovascular event and one of whom did not.

Technology has not stopped incredible us and so has not Google.

Looking at deep-learning models on data from more than a quarter of a million patients, scientists were able to predict the cardiovascular risk factors that were not previously thought to be present.

It brings down the prediction time-frame to 5 years as against 10 years typically associated with the clinical risk predictors now in use.

As Peng notes, opening the black box to explain how predictions are made should give doctors more confidence in the algorithm.

Like this: