Prediction of Revascularization by Coronary CT Angiography using a Machine Learning Ischemia Risk Score

OBJECTIVES: The Machine Learning Ischemia Risk Score (ML-IRS) is a machine-learning based algorithm designed to identify hemodynamically significant coronary disease using quantitative coronary computed tomography angiography (CCTA). The purpose of this study was to examine whether the ML-IRS can pr...

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Pubblicato in:Eur Radiol
Autori principali: Kwan, Alan C., McElhinney, Priscilla A., Tamarappoo, Balaji K., Cadet, Sebastien, Hurtado, Cecilia, Miller, Robert J.H., Han, Donghee, Otaki, Yuka, Eisenberg, Evann, Ebinger, Joseph E., Slomka, Piotr J., Cheng, Victor Y., Berman, Daniel S., Dey, Damini
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2020
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7882015/
https://ncbi.nlm.nih.gov/pubmed/32880697
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07142-8
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