A new model based on artificial intelligence to screening preterm birth.

Valter Lacerda de Andrade JúniorMarcelo Santucci FrançaRoberto Angelo Fernandes SantosAlan Roberto HatanakaJader de Jesus CruzTatiana Emy Kawanami HamamotoEvelyn TrainaStephanno Gomes Pereira SarmentoJúlio Elito JúniorDavid Baptista da Silva ParesRosiane MattarEdward Araujo JúniorAntonio Fernandes Moron

Published in: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians (2023)

AI applied to clinical and ultrasonographic variables could be a viable option for screening of sPTB < 35 weeks, improving the performance of short cervix, with a low false-positive rate.

Keyphrases

artificial intelligence
preterm birth
gestational age
machine learning
big data
low birth weight
deep learning
preterm infants