Predicting post-stroke aphasia from brain imaging

Monica D. Rosenberg () and Hayoung Song
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Monica D. Rosenberg: University of Chicago
Hayoung Song: University of Chicago

Nature Human Behaviour, 2020, vol. 4, issue 7, 675-676

Abstract: Stroke can lead to debilitating consequences, including loss of language. An important goal of stroke research is to use machine learning to predict outcomes and response to therapy. A new study compares different approaches to predicting post-stroke outcomes and highlights the need for systematic optimization and validation to ultimately translate scientific insights to clinical settings.

Date: 2020
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DOI: 10.1038/s41562-020-0902-1

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