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Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning

Ananya Singh, Robert J.H. Miller, Yuka Otaki, Paul Kavanagh, M. Timothy Hauser, Evangelos Tzolos, Jacek Kwieciński, Serge Van Kriekinge, Chih-Chun Wei, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Joanna X. Liang, Cathleen Huang, Donghee Han, Damini Dey, Daniel S. Berman, Piotr J. Slomka

2022JACC. Cardiovascular imaging49 citationsDOIOpen Access PDF

Topics & Concepts

MaceMedicineMyocardial perfusion imagingMyocardial infarctionInternal medicineQuartileCardiologyArea under the curvePerfusionReceiver operating characteristicLogistic regressionPerfusion scanningConfidence intervalPercutaneous coronary interventionCardiac Imaging and DiagnosticsCardiovascular Function and Risk FactorsAcute Myocardial Infarction Research
Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning | Litcius