Artificial intelligence to evaluate brain maturity of preterm infants - Scienmag: Latest Science and Health News

Researchers at the University of Helsinki and the Helsinki University Hospital (HUH), Finland, have developed software based on machine learning, which can independently interpret EEG signals from a premature infant and generate an estimate of the brain's functional maturity. Published in the journal Scientific Reports, the method is the first EEG-based brain maturity evaluation system in the world. It is more precise than other currently understood methods of evaluating the development of an infant's brain, and enables the automatic and objective monitoring of a premature infant's brain development. "We currently track the development of an infant's weight, height and head circumference with growth charts. EEG monitoring combined with automatic analysis provides a practical tool for the monitoring of the neurological development of preterm infants and generates information which will help plan the best possible care for the individual child," says Professor Sampsa Vanhatalo from the University of Helsinki, who led the research.