US­ING EYES TO DE­TECT HEART AT­TACKS

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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.

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