Article

Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning

2026-02-05

Abstract excerpt

Aphasia, an acquired language deficit, is the most common post-stroke focal cognitive impairment, and roughly 60% cases become chronic (duration >6 months). Aphasia therapies could be optimized if clinicians could make personalized predictions of how individual persons with aphasia (PWA) would be likely to perform on particular language tasks. However, current approaches relying on imaging, lesion volume, patient...

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Literature Corpus work: c0533388-8974-587f-80a4-fc6e89e6e5ef
DOI: 10.64898/2026.02.02.703416

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