Changes in EEG background activity are powerful but nonspecific markers of brain dysfunction. Early EEG and amplitude-integrated EEG (aEEG) pattern predict further neurodevelopmental outcome in term ...
Background and aims: No early biomarker is conclusive in the prediction of outcome in Hypoxic-Ischaemic Encephalopathy (HIE). Both Nucleated Red Blood Cell (NRBC) count and electroencephalogram (EEG) ...
An automated artificial intelligence (AI) model trained to read electroencephalograms (EEGs) in patients with suspected epilepsy is just as accurate as trained neurologists, new data suggests. Known ...
In a recent article published in JAMA Neurology, researchers tested whether the artificial intelligence (AI) model, SCORE-AI, interprets routine clinical electroencephalograms (EEGs) with comparable ...
A new artificial intelligence (AI) model may improve patient diagnosis and care among specialized epilepsy centers in underserved areas. The use of an artificial intelligence (AI) model to interpret ...
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