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AI biomarker identifies aortic stenosis development, progression

AI biomarker identifies aortic stenosis development, progression
healthitanalytics.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from healthitanalytics.com Daily Mail and Mail on Sunday newspapers.

Shania kennedyEvangelosk oikonomouRohan kheraPennsylvania state universitySinai medical centerCards labDuke university school of medicineYale school of medicineCardiovascular data science cards lab at yaleYale new haven health systemGetty imagesYale schoolCedars sinai medical centerCardiovascular data scienceAccurately predicts right side heartDuke university school

Deep Learning – Yale Scientific Magazine

Deep Learning – Yale Scientific Magazine
yalescientific.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from yalescientific.org Daily Mail and Mail on Sunday newspapers.

United statesEvangelos oikonomouYale new haven healthCardiovascular data science cards lab at yaleCards labImage courtesyCardiovascular data scienceEuropean heart journalNew england

Artificial intelligence automates diagnosis of severe heart valve disease

Artificial intelligence automates diagnosis of severe heart valve disease
medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.

United statesRohan kheraEvangelos oikonomouGreg holsteGregory holsteCardiovascular data science cards labCards labChandra family department of electricalEuropean heart journalCardiovascular data scienceChandra family departmentComputer engineeringYale new havenNew englandEuropean heart

Artificial Intelligence automates the diagnosis of severe heart valve disease

A novel application of deep learning could detect severe aortic stenosis early, researchers say.

United statesRohan kheraEvangelos oikonomouGreg holsteNational heartChandra family department of electricalCards labCardiovascular data science cards labCardiovascular data scienceEuropean heart journalChandra family departmentComputer engineeringYale new havenNew englandBlood instituteNational institutes

Adults with heart disease less likely to use health apps to track and improve their health

Two in five U.S. adults with or at risk for heart disease use smartphones or tablets to monitor their health, a new Yale study finds

Arya aminorroayaRohan kheraLovedeep dhingraCards labNational cancer institute health information trendsNational heartDoris duke charitable foundationJournal of the american college cardiologyAmerican collegeNational cancer instituteHealth information national trendsCardiovascular data scienceYale schoolBlood instituteNational institutesDoris duke charitable