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Artificial Intelligence predicts cardiovascular risk from retinal images

retinal imagesGoogle researchers predicted cardiovascular risk factors not previously thought to be quantifiable in retinal images using artificial intelligence, according to a study published in Nature Biomedical Engineering. Scientists were able to identify risk factors such as age, gender, smoking status, blood pressure and major adverse cardiac events by only looking at the eye.

Cardiovascular diseases are lethal and widespread
According to the WHO, an estimated 17 million people die of cardiovascular diseases, particularly heart attacks and strokes, every year. Looking only at the statistics of heart diseases, one in every fourth deaths occurs due to heart conditions in the United States.

The European Society of Cardiology published its study about the heart health of 45 countries (European nations, some former Soviet states, North Africa and parts of the Middle East). It turned out that heart disease accounts for over 50 percent of all deaths in many middle-income European countries, compared with less than 30 percent in the high-income countries of Western Europe. These terrifying numbers truly show the need for prevention and timely intervention.
In the future, artificial intelligence-based predictions could be the answer!

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