2 Minute Medicine

Deep-learning models displayed expert-level accuracy in detecting epileptiform discharges on electroencephalogram (EEG) recordings

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...
clinicaladvisor.com

Deep-Learning Model Uses Sleep EEG Data to Predict Cognitive Function

A deep-learning model achieved significantly higher accuracy and F1-scores for both Cognitive Abilities Screening Instrument and Digit Symbol Coding Test. A deep-learning model vs a comparison model ...
BioWorld

Encephalogix reveals machine learning for EEG analysis

The first patenting from Encephalogix Inc. details its development of platform that uses machine learning and AI to analyze EEG data that is typically ignored.

BrainScope's EEG-Based Biomarker Predicts Dementia Risk Up to 7 Years Before Initial Diagnosis, Published in Nature Scientific Reports

Non-invasive EEG biomarker identifies risk of future cognitive decline long before diagnosis, reinforcing BrainScope's strategic focus on early, actionable dementia detection. ROCKVILLE, ...
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Sleep Classification with Python – EEG, Sklearn and MNE – Part 1

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide. House GOP fails to pass tax and spending bill after key committee vote Game of Thrones: ...
New Atlas

Brains sync up when people watch health messages together

Using portable EEGs, researchers found that when groups of people watch the same health promotion videos, their brain activity syncs up, indicating that the message has gone beyond being seen and ...