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) ...
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 ...
An artificial intelligence (AI) model for interpretation of routine clinical electroencephalograms (EEGs) demonstrates similar performance to human experts, according to a study published online June ...
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 robust new study investigating brain activity patterns in schizophrenia patients and their siblings is suggesting a specific brain “signature” could detect the condition in subjects before clinical ...
The need to rapidly, accurately and faithfully transmit brain wave activity via electroencephalogram when a specialist cannot ...
This is the 5th in a series of blog posts on ADHD. The focus of this post is electroencephalographic (EEG) biofeedback, sometimes called neurofeedback. What it is and how it works Many individuals ...
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