Valter Lacerda de Andrade Júnior, Marcelo Santucci França, Roberto Angelo Fernandes Santos, Alan Roberto Hatanaka, Jader de Jesus Cruz, Tatiana Emy Kawanami Hamamoto, Evelyn Traina, Stephanno Gomes Pereira Sarmento, Júlio Elito Júnior, David Baptista da Silva Pares, Rosiane Mattar, Edward Araujo Júnior, Antonio Fernandes Moron
OBJECTIVE: The objective of this study is to create a new screening for spontaneous preterm birth (sPTB) based on artificial intelligence (AI). METHODS: This study included 524 singleton pregnancies from 18th to 24th-week gestation after transvaginal ultrasound cervical length (CL) analyzes for screening sPTB < 35 weeks. AI model was created based on the stacking-based ensemble learning method (SBELM) by the neural network, gathering CL < 25 mm, multivariate unadjusted logistic regression (LR), and the best AI algorithm...
December 2023: Journal of Maternal-fetal & Neonatal Medicine