An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...

AI models are being applied to every dataset under the sun but are inconsistent in their outcomes. This is as true in the medical world as anywhere else, but a startup called Piramidal believes it has ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

In a recent study published in JAMA Network Open, researchers developed and validated four machine learning (ML) models on a dataset comprising more than 30,000 participants to identify a novel ML ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...