OBJECTIVE: To identify and quantify risk factors for atonic postpartum hemorrhage. DATA
SOURCES: PubMed, CINAHL, EMBASE, Web of Science, and and ClinicalTrials. gov …

Background The applications of artificial intelligence (AI) processes have grown significantly
in all medical disciplines during the last decades. Two main types of AI have been applied in …

Objective To predict preterm birth in nulliparous women using logistic regression and
machine learning. Design Population-based retrospective cohort. Participants Nulliparous …

Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of
postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We …

Background Despite the emerging application of clinical decision support systems (CDSS)
in pregnancy care and the proliferation of artificial intelligence (AI) over the last decade, it …

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 …

BACKGROUND Early detection of postpartum hemorrhage risk factors by healthcare
providers during pregnancy and the postpartum period may allow healthcare providers to …

Background: Postpartum hemorrhage (PPH) is a leading cause of maternal morbidity and
mortality worldwide but the incidence and its risk factors in China is limited. The objective of …

Highlights•Pregnancy is a hyperthrombotic state with an increase of several coagulation
factors with simultaneously increasing activity in the fibrinolytic system when progressing to …

In the digital age of the 21st century, we have witnessed an explosion in data matched by
remarkable progress in the field of computer science and engineering, with the development …