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Machine learning assessment of myocardial ischemia using angiography

November 13, 2018

Machine learning assessment of myocardial ischemia using angiography

Soo-Jin Kang and colleagues present a machine learning–based model for estimating the risk of ischemia resulting from a coronary stenosis. If prospectively validated, the tool may reduce the invasive nature of this diagnosis. Read the Author Summary, and check out the new instalment of the Machine Learning in Health and Biomedicine special issue.

Image credit: https://doi.org/10.1371/journal.pmed.1002693

Call for Papers: New Tools and Strategies for Tuberculosis Elimination

A PLOS Medicine Special Issue, guest edited by Claudia Denkinger, Richard Chaisson & Mark Hatherill

Submit by 16 Nov

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