Background: Predictions in pregnancy care are complex because of interactions among
multiple factors. Hence, pregnancy outcomes are not easily predicted by a single predictor …

Advances in public health and medical care have enabled better pregnancy and birth
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …

Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive
studies are hindered by its multiple complex etiologies. Epidemiological associations …

A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne-
cology and Obstetrics. In previous work, we exposed that Artificial Intelligence (AI) …

Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

A healthy pregnancy depends on complex interrelated biological adaptations involving
placentation, maternal immune responses, and hormonal homeostasis. Recent advances in …

Objective Minority oversampling is a standard approach used for adjusting the ratio between
the classes on imbalanced data. However, established methods often provide modest …

This study reviews the current status and future prospective of knowledge on the use of
artificial intelligence for the prediction of spontaneous preterm labor and birth (“preterm birth” …

This study reviews recent advances on the application of artificial intelligence for the early
diagnosis of various maternal-fetal conditions such as preterm birth and abnormal fetal …

In this work, a proposed Multi-Fused Residual Convolutional Neural Network (MFuRe-CNN)
with Auxiliary Fusing Layers (AuxFL), a Fusion Residual Block (FuRB) both with Alpha …