A ROUTINE EEG could soon change dementia diagnosis, as researchers show that artificial intelligence applied to EEG scans can ...

New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...

Electroencephalography (EEG) has emerged as a valuable non‐invasive tool for examining neural dynamics and recognising patterns associated with depressive disorders. Recent advances in deep learning ...

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...

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 ...

Melon, the EEG-tracking headband company that raised nearly triple its initial goal in a 2013 crowdfunding campaign, has been acquired by DAQRI, an enterprise augmented reality company founded in 2010 ...

Objective To develop a clinically feasible, brain-based tool for sideline concussion classification. Design Prospective cohort study. Setting High school athletes. Participants 35 healthy control male ...

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 ...