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 ...
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 ...
Two abstracts presented at the 2023 International Epilepsy Congress evaluated early electroencephalography (EEG) monitoring in children with seizures and encephalopathy. At the 35th International ...
PROVIDENCE, R.I. [Brown University] — In life, many tasks have a context that dictates the right actions, so when people learn to do something new, they'll often infer cues of context and rules. In a ...
(A) Pedigrees of the cases with CSMD1 variants and their corresponding phenotypes. (B) DNA sequence chromatogram of the CSMD1 variants. The arrows indicate the positions of the variants. (C) ...
The need to rapidly, accurately and faithfully transmit brain wave activity via electroencephalogram when a specialist cannot ...
Hypsarrhythmia is an abnormal pattern that appears on an EEG test. This pattern shows up as a specific and recognizable pattern of tall, wide waves on top of the background. Share on Pinterest Getty ...
A new study has identified certain characteristics in the electroencephalograph (EEG) of critically ill patients that are associated with an increased risk for seizures. The researchers, from the ...
An EEG (electroencephalogram) can provide a valuable biomarker for detecting delirium, a serious mental disturbance that is often underrecognized, as well as predicting poor clinical outcomes, ...
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