Researchers at the University of Helsinki in Finland have developed a method that uses artificial intelligence to assess a preterm infant's brain maturity from an electroencephalogram (EEG).
A large volume of EEG data on preterm infants was fed into a computer, and the machine-learning software calculated hundreds of computational features from each measurement without requiring intervention from a physician.
A support vector machine algorithm helped combine these features into a reliable estimate of the EEG maturational age of the infant.
At the end of the study, the researchers compared the EEG maturational age with the known true age of the infant and found the true age and computer-generated calculation were within two weeks of one another in more than 80 percent of the cases.
"This method gives us a first-time opportunity to track the most crucial development of a preterm infant, the functional maturation of the brain, both during and after intensive care," says Helsinki professor Sampsa Vanhatalo.
From University of Helsinki
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