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[email protected]. The AI-based algorithm analyzed movements during REM ...
Highest performance seen by combining five features but only analyzing short (0.1- to 2-second duration) movements.
AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder. A Mount Sinai-led team of researchers has enhanced an artificial ...
Among patients with iRBD, altered visuospatial cue-elicited N2 and P3 ERPs predicted phenoconversion to α-synucleinopathies.
New research from The Feinstein Institutes for Medical Research reveals that brain imaging can detect subtle abnormalities in ...
Prolonged rapid eye movement sleep latency may be an early indicator of Alzheimer’s disease and related dementias, according ...
Scientists have recently shown that both the quality and the amount of sleep we get may influence our risk of developing ...
AI-powered blood test detects Parkinson's disease years before symptoms appear, revolutionizing early diagnosis and treatment ...
Research indicates longer REM latency is associated with higher Alzheimer's biomarkers, pointing to its potential as an early ...
A new study showed that people who took longer to enter this dream phase of sleep had higher levels of amyloid beta and tau, ...
Delays in dreaming might be an early warning sign of Alzheimer's disease. People who take significantly longer to enter the ...