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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 ,

100 hospitals and health systems with great oncology programs

The following 100 organizations have earned national recognition for their work in cancer care. These programs offer leading-edge clinical trials and pioneer research discoveries that expand access to care and enhance patient outcomes. ....

City Of Hope , United States , Salt Lake City , University Of Tennessee Medical Center , Vanderbilt University , University Of Tennessee , New York , El Paso , University Of Cincinnati , Wayne State University School Of Medicine , Los Angeles , San Francisco , Ohio State University , University Of Pennsylvania , North Carolina , Fox Chase , West Penn , University Of Miami , Northwestern Memorial Hospital , University Medical Center , Duke University , Downers Grove , University Of Arkansas , University Of Maryland School Medicine , Orange County , Jupiter Medical Center ,

AI Tool Uses CT Scans to Predict Decreased Blood Flow to the Heart

Researchers and colleagues at Cedars-Sinai have created an artificial intelligence (AI) tool that employs computed tomography (CT) scans to detect patients who are at risk of decreased blood flow to the heart. ....

Andrew Lin , Eyal Klein , Alex Smith , Tyler Olson Shutterstock , Nipun Manral , Keiichiro Kuronuma , Daniels Berman , Kajetan Grodecki , Yuka Otaki , Donghee Han , Richard Rios , Evangelos Tzolos , Piotrj Slomka , Damini Dey , Priscilla Mcelhinney , Alan Kwan , Sinai Biomedical Imaging Research Institute , Quantitative Image Analysis Lab At Cedars , Professor Of Biomedical Sciences , Sheldong Adelson Medical Research Foundation , Blood Institute , National Heart , Image Credit , Study Corresponding Author , Biomedical Sciences , Quantitative Image Analysis Lab ,