ADVANCING EPILEPSY DIAGNOSIS: A META-ANALYSIS OF ARTIFICIAL INTELLIGENCE APPROACHES FOR INTERICTAL EPILEPTIFORM DISCHARGE DETECTION

The diagnosis of epilepsy involves identifying interictal epileptiform discharges (IEDs) on EEG tracings.[1–3] Consistent detection of spikes is challenging, due to significant variability in the waveform shapes of IEDs across different patients.[4,5] The gold standard method for EEG evaluation involves visual interpretation by trained physicians. However, due to scarcity of experienced neurophysiologists, and considering interpersonal variability in interpretation,[6,7] there is an increasing demand for automated systems capable of accurate EEG reading.

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