One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...

Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...