The DARC-NESS model targets chronic nightmares in youth, promoting confidence and coping strategies to restore healthy sleep ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road. A new artificial intelligence model developed by Stanford Medicine ...

A new article published in Nature Medicine has shown how a new AI model can be used to predict future disease risk, including several types of heart disease, dementia, kidney disease, and all-cause ...

The factors that govern the timing and duration of sleep and wakefulness continue to be a focal point of vigorous research within the scientific community. Nearly four decades ago, the two-process ...

A transformer-based AI model analyzes eight-hour sleep signals from brain, movement, cardiac, and respiratory data to generate summaries, which are then used to classify sleep stages for the entire ...

Multi-week in-home study conducted by SleepScore Labs analyzed nearly 1,700 nights of sleep and found measurable improvements in sleep quality and duration, perceived pressure relief, and waking up ...

A new AI model developed by Duke researchers could help providers connect children in need more quickly with mental health resources. Elliot Hill, data scientist and Duke AI health fellow, led 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 ...