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Impact of machine learning–based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease

Hong Qiao, Chun Xiang Tang, U. Joseph Schoepf, Christian Tesche, Richard R. Bayer, Dante A. Giovagnoli, H. Todd Hudson, Chang Sheng Zhou, Jing Yan, Meng Jie Lu, Fan Zhou, Guangming Lu, Jian Wei Jiang, Long Jiang Zhang

2020European Radiology45 citationsDOI

Topics & Concepts

MedicineFractional flow reserveCoronary artery diseaseStenosisRadiologyInterventional radiologyNeuroradiologyRevascularizationMaceCardiologyComputed tomography angiographyInternal medicinePercutaneousChest painAngiographyPercutaneous coronary interventionCoronary angiographyMyocardial infarctionNeurologyPsychiatryCoronary Interventions and DiagnosticsCardiac Imaging and DiagnosticsAcute Myocardial Infarction Research
Impact of machine learning–based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease | Litcius