AI Streamlines Heart Fat Assessment for Early Risk Detection

A collaborative team of Cedars-Sinai investigators proposes that artificial intelligence can effectively evaluate the volume and density of heart fat, both of which are associated with cardiovascular risk.

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Edwardj Miller , Joannax Liang , Attila Feher , Robert Jh Miller , Piotrj Slomka , Valerie Builoff , Serged Van Kriekinge , Aditya Killekar , Bryan Bednarski , Andrewj Einstein , Aakash Shanbhag , Daniels Berman , Mark Lemley , Damini Dey , Paulb Kavanagh , Skyla Baily , Sinai Biomedical Imaging Research Institute , National Institutes Of Health , National Heart , Division Of Artificial Intelligence In Medicine , Division Of Artificial Intelligence , Blood Institute , Smidt Heart Institute , Heart Fat Assessment , Early Risk Detection , Biomedical Imaging Research Institute , Artificial Intelligence , Associate Director , National Institutes , Digital Medicine ,