Prematurity is the leading cause of death for children under age 5 around the world. Premature newborns can suffer many medical complications, including diseases of the eyes, lungs, brain and digestive system. Premature birth, when a baby is born 3 or more weeks early, affects 10.5% of births in the United States these rates are higher in some other parts of the world. "The people who look 'very pregnant' to the AI algorithm - but are not - end up being at significantly increased risk of preterm birth," Aghaeepour said. These individuals were more likely to deliver early, the study found. However, some women's sleep and activity patterns changed on an accelerated timeline relative to how far along they were in their pregnancies. The study's lead author is Neal Ravindra, PhD, a former postdoctoral scholar at Stanford Medicine.Īs the pregnancies progressed, sleep typically became more disrupted, and women became less physically active, the study showed. "But some patients don't follow that clock." When patients' sleep and activity levels don't change on a typical trajectory, the study showed, it',s a warning sign for premature birth, he added. Normal pregnancy is characterized by progressive changes in sleep and physical activity as the pregnancy advances, he said. "We showed that an artificial intelligence algorithm can build a 'clock' of physical activity and sleep during pregnancy, and can tell how far along a patient's pregnancy is," said senior study author Nima Aghaeepour, PhD, an associate professor of anesthesiology, perioperative and pain medicine and of pediatrics at Stanford Medicine. With a machine learning algorithm, the scientists sifted through participants' activity information to detect fine-grained changes in sleep and physical activity patterns. ![]() ![]() 28 in npj Digital Medicine, the researchers collected data from devices worn by more than 1,000 women throughout pregnancy. In the study, which will publish online Sept.
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