Article

Predicting Antiseizure Medication Outcomes in Early Diagnosed Epilepsy: A Multimodal Framework Using EEG, MRI, and Clinical Data

2025-03-13

Abstract excerpt

Accurate prediction of antiseizure medication (ASM) outcomes is crucial for optimising epilepsy treatment. We propose a multi-modal deep learning framework that integrates electroencephalography (EEG), magnetic resonance imaging (MRI), clinical factors, and molecular drug features to enhance ASM outcome prediction. Our approach includes EEG Q-Net, a pre-trained quantisation model capturing finegrained temporal EEG...

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Literature Corpus work: 58fdf502-b660-57de-9a7f-8d555ed617bb
DOI: 10.1101/2025.03.12.25323644

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