USING EYES TO DETECT HEART ATTACKS
Researchers at Google and its health-tech arm Verily claim that Artificial Intelligence (AI) and Machine Learning (ML) could help identify signals of heart diseases through retinal images. According to Google CEO Sundar Pichai: “AI offers us the potential for new, less invasive tests for heart health – predicting cardiovascular results from retinal images with computer vision – encouraging early results.”
The study, published in the journal Nature Biomedical Engineering, showed that deep learning applied to a retinal fundus image, a photograph that includes the blood vessels of the eye, can predict risk factors for heart diseases – from blood pressure to smoking status.
Michael McConnell, Head of Cardiovascular Health Innovations at Verily, further said that the algorithm that the researchers produced can even help predict the occurrence of a future major cardiovascular event on a par with current measures.