A novel AI-enabled point-of-care (POC) EEG system quantifies seizure burden in critically ill adults. The AI-derived seizure burden correlates dose-dependently with poor functional outcomes at hospital discharge. Combining a bedside and more sensitive portal algorithm strengthens the association with clinical prognosis. This study offers initial evidence supporting AI-based EEG interpretation to guide acute neurological care and prognostication.
Study Background
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