Neurologists at the Mayo Clinic in Arizona have shown that iPads can be an effective way to interpret electro-encephalograph (EEG) readings in telemedicine clinics, comparable to laptop and desktop ...
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 ...
As part of this effort, IntraNerve establishes itself as Piramidal's first remote monitoring company partner, contributing ...
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 ...
This is an example EEG reading that the Duke researchers’ AI tool studied and classified as a seizure-like signal. Duke University An AI model developed by Duke University researchers that can quickly ...
Seizure burden, defined by an artificial intelligence (AI) algorithm applied to point-of-care electroencephalography (POC EEG) recordings, can help predict functional outcomes. After relevant ...
Doctors could soon reduce epilepsy misdiagnoses by up to 70% using a new tool that turns routine electroencephalogram, or EEG, tests that appear normal into highly accurate epilepsy predictors, a ...
A new tool could potentially reduce epilepsy misdiagnoses by up to 70%, new research suggests. Known as EpiScalp, the tool uses algorithms trained on dynamic network models to map brainwave patterns ...
Pediatric anesthesia emergence delirium (PAED) can include unawareness of surroundings, restlessness, and inconsolability, and can lead to risk of injury and accidental removal of catheters. In this ...
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