The results of this study provide further clinical evidence that patient-applied, patch-based PSG is a viable alternative to in-lab PSG, enabling broader access to gold-standard sleep testing.

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

Sexsomnia poses diagnostic and legal challenges, with polysomnography aiding assessment and prevention centered on sleep ...

AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...

Scientists have developed an AI that can predict future disease risk using data from just one night of sleep. The system ...

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 ...

Artificial intelligence can use brain recordings from a single night in a sleep lab to predict a person's risk of developing ...

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.

Polysomnography is a sleep study that can help doctors diagnose sleep disorders. A person can take the study in a sleep center or at home. In this article, we look at why a person may need to undergo ...

A recent review concluded that polysomnography tests have objective value in assessing the effect that socioeconomic status has on sleep quality. In a review published in Clocks and Sleep, a ...

Insurance carriers are pushing harder for patients to have unattended home sleep studies versus in-lab polysomnograms. Their position is that home sleep studies are more cost efficient. But is it the ...