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

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 predi...

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Main Authors: Hyeonyong Hae, Soo-Jin Kang, Won-Jang Kim, So-Yeon Choi, June-Goo Lee, Youngoh Bae, Hyungjoo Cho, Dong Hyun Yang, Joon-Won Kang, Tae-Hwan Lim, Cheol Hyun Lee, Do-Yoon Kang, Pil Hyung Lee, Jung-Min Ahn, Duk-Woo Park, Seung-Whan Lee, Young-Hak Kim, Cheol Whan Lee, Seong-Wook Park, Seung-Jung Park
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-11-01
Series:PLoS Medicine
Online Access:http://europepmc.org/articles/PMC6233920?pdf=render

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http://europepmc.org/articles/PMC6233920?pdf=render

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