AI-Driven Prognosis: EEGSurvNet Accurately Predicts Seizure Timing From Routine EEG Data
Researchers developed EEGSurvNet, a deep survival model that analyzes routine EEG to predict seizure risk over two years. Outperforming clinical models, it achieved an AUROC of 0.80 at two months and showed high efficacy in patients without visible epileptiform discharges.



