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Artificial Intelligence Can Evaluate Cardiovascular Risk During CT Scan

Using two primary markers‑ coronary calcium and heart chamber size A routine chest scan without contrast shows promise for disease detection ....

Sumeet Chugh , Piotrj Slomka , Andrewj Einstein , Mark Lemley , Robert Jh Miller , Aakash Shanbhag , Annam Michalowska , Daniels Berman , Joannax Liang , Paulb Kavanagh , Cathleen Huang , Davide Newby , Konrad Pieszko , Damini Dey , Bryan Bednarski , Serged Van Kriekinge , Aditya Killekar , Smidt Heart Institute At Cedars , Department Of Cardiology , National Cancer Institute , Biomedical Imaging Research Institute , National Heart , Blood Institute National Institutes Of Health , National Institute Of Biomedical Imaging , National Institutes Of Health , Division Of Artificial Intelligence In Medicine ,

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. ....

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 ,