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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

Artificial intelligence can evaluate cardiovascular risk during CT scan

Artificial intelligence can evaluate cardiovascular risk during CT scan
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Piotrj-slomka , Robert-jh-miller , Sumeet-chugh , Division-of-artificial-intelligence-in-medicine , Smidt-heart-institute-at-cedars , Smidt-heart-institute , Department-of-cardiology , Nature-communications , Sinai-medical-center , Cedars-sinai-medical-center , Cedars-sinai-medical , Artificial-intelligence

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