Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation

BACKGROUND: Invasive fractional flow reserve (FFR) is a standard tool for identifying ischemia-producing coronary stenosis. However, in clinical practice, over 70% of treatment decisions still rely on visual estimation of angiographic stenosis, which has limited accuracy (about 60%–65%) for the pred...

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Sparad:
Bibliografiska uppgifter
I publikationen:PLoS Med
Huvudupphovsmän: Hae, Hyeonyong, Kang, Soo-Jin, Kim, Won-Jang, Choi, So-Yeon, Lee, June-Goo, Bae, Youngoh, Cho, Hyungjoo, Yang, Dong Hyun, Kang, Joon-Won, Lim, Tae-Hwan, Lee, Cheol Hyun, Kang, Do-Yoon, Lee, Pil Hyung, Ahn, Jung-Min, Park, Duk-Woo, Lee, Seung-Whan, Kim, Young-Hak, Lee, Cheol Whan, Park, Seong-Wook, Park, Seung-Jung
Materialtyp: Artigo
Språk:Inglês
Publicerad: Public Library of Science 2018
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6233920/
https://ncbi.nlm.nih.gov/pubmed/30422987
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pmed.1002693
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