Background The rapid advancement of digital technologies, particularly in big data analytics
(BDA), artificial intelligence (AI), machine learning (ML), and deep learning (DL), is …

22 BACKGROUND: Following the latest trends in the development of artificial intelligence
(AI), the possibility of processing 23 an immense amount of data has created a breakthrough …

The mother's mode of delivery greatly impacts the relationship between the newborn baby
and the mother, as well as the mother's and baby's health. Currently, the cesarean rate is …

Identifying fetal orientation is essential for determining the mode of delivery and for
sequence planning in fetal magnetic resonance imaging (MRI). This manuscript describes a …

In order to protect the maternal and infant safety, birth weight is an important indicator during
fetal development. A doctor's experience in clinical practice, however, helps estimate birth …

Collaborative filtering (CF) is a method to be used in recommendation systems. CF works by
analyzing rating data patterns from previous users to produce recommendations according …

This study aims to use bibliometric analysis to examine how machine learning research
trends in obstetric care have evolved over time. First, 829 publications from 2014 to 2023 …

Maternal risk prediction is a critical component of prenatal care aimed at mitigating adverse
outcomes for pregnant individuals and their babies. In this research, we have employed …

Over the past few decades, artificial intelligence has been showing its high relevance and
potential in a vast number of applications, particularly in the healthcare domain. Having a …

Predicting the birth mode of a child is a difficult and challenging research topic that has
drawn the interest of many medical experts. In order to guarantee the safety of both mother …