AI Tool Uses CT Scans to Predict Decreased Blood Flow to th

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.

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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 , Biomedical Imaging Research , Medical Research , Benjamin Shou , Sebastien Cadet ,