AI tool uses CT scans to identify patients at risk of reduce

Cedars-Sinai investigators and colleagues have developed an artificial intelligence (AI) tool that uses computed tomography (CT) scans to identify patients at risk of reduced blood flow to the heart.

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Kajetan Grodecki , Andrew Lin , Donghee Han , Eyal Klein , Yuka Otaki , Richard Rios , Emily Henderson , Evangelos Tzolos , Nipun Manral , Keiichiro Kuronuma , Damini Dey , Piotrj Slomka , Priscilla Mcelhinney , Alan Kwan , Daniels Berman , Biomedical Imaging Research Institute , Sheldong Adelson Medical Research Foundation , Blood Institute , Biomedical Sciences , National Heart , Benjamin Shou , Sebastien Cadet , Medical Research , Blood , Heart , Angiography , Artificial Intelligence , Chest Pain , Computed Tomography , It , Maging , Medicine , Muscle , Rain , Research , Estenosis , Omography ,