A ROUTINE EEG could soon change dementia diagnosis, as researchers show that artificial intelligence applied to EEG scans can ...
News-Medical.Net on MSN
FAU researchers create deep learning model that detects and evaluates Alzheimer's and FTD
Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...
New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...
Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...
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 ...
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 ...
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 ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback