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.
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 ...
Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...
Mayo Clinic scientists are using artificial intelligence (AI) and machine learning to analyze electroencephalogram (EEG) tests more quickly and precisely, enabling neurologists to find early signs of ...
New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...
Artificial intelligence-enabled point-of-care EEG allows rapid bedside seizure detection, accelerating treatment and preventing unnecessary care escalation.
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the most common form of dementia, affects about 7.2 million Americans aged 65 ...
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