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Google’s AI Algorithm Uses Retinal Images to Predict Cardiovascular Risk Factors

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Bahrain will hold its second international conference on ‘AI in Healthcare’ at the end of November and under the patronage of Government Hospitals and organizations of International Group of Artificial Intelligence.

The international speakers will discuss latest AI tools in the healthcare and medical fields. Below is one of the recent developments which will be addressed by the group: Prediction of cardiovascular risk An algorithm being developed by Google is really set on proving that your eyes are the window to your soul.

Can a look inside your eye reveal the condition of your heart? An algorithm being developed by Google is really set on proving that your eyes are the window to your soul. A deep learning model based on the retinal images of nearly 285,000 people can predict risk factors such as age, gender, blood pressure and smoking status — some of the big predictors of heart diseases.

The technology could reveal the heart’s health condition after matching the eye scans with a matrix for cardiovascular risks. The algorithm has proved to be correct in 70 per cent of the cases where it has been tested so far. Google’s new AI technique could eliminate the need to have a long series of conventional tests and scans usually required to detect cardiovascular risks.

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So, how did the research to develop a device to detect diabetic retinopathy help in determining the risk for cardiovascular diseases? Google already had access to the retinal images from an American and a UK dataset that it used to train its deep learning model. It studied the anatomical features in the eyes such as the optic disc or blood vessel to generate the predictions about age, gender, smoking status and blood pressure. This model was validated using another 13,000 records from these datasets.

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