
An interpretable deep learning model, ProtoPMed-EEG, accurately classifies six clinically relevant EEG patterns (seizure, LPD, GPD, LRDA, GRDA, other) and provides faithful case-based explanations for its predictions, significantly improving user diagnostic accuracy compared to without AI assistance.


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interpretable-deep-learning-model-for-accurate-classification-of-seizure-and-rhythmic-periodic-eeg-patterns-in-intensive-care-units


Interpretable Deep Learning Model for Accurate Classification of Seizure and Rhythmic/Periodic EEG Patterns in Intensive Care Units
