Results 121 to 130 of about 291,006 (308)
Abstract Objective This study determines whether a machine‐learning model integrating sonographic biometry with maternal clinical parameters improves prediction of large‐for‐gestational‐age (LGA) compared with Hadlock's EFW formula. Methods We conducted a retrospective cohort study including all singleton live births at ≥32 gestational weeks at a ...
Ohad Houri +7 more
wiley +1 more source
Abstract Objective This study assesses the association between complete blood count (CBC) parameters, including the neutrophil‐to‐lymphocyte ratio (NLR) and the platelet‐to‐lymphocyte ratio (PLR) and predicts the need for postpartum packed red blood cell transfusion (pRBCT).
Daniel Gabbai +4 more
wiley +1 more source
The Iowa Perinatal Letter, April-May-June 2007, Vol. 28, no.2 [PDF]
This newsletter from The Department of Public Health about perinatal health care and ...
core
Hematologic markers and machine learning in predicting placenta accreta: A case–control study
Abstract Objective This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine learning by evaluating the association between antenatal hematologic index trends across trimesters, imaging markers, and patient history.
Michael D. Jochum +11 more
wiley +1 more source
Maternal-fetal attachment among Vietnamese mothers in the first, second, and third trimesters of pregnancy: A pilot study. [PDF]
Purpose: The purpose of this study was to investigate maternal-fetal attachment (MFA) among Vietnamese women during pregnancy. Design: This study is a quantitative, descriptive pilot study of maternal fetal attachment among twenty-five Vietnamese women ...
Choo, Barbara
core +1 more source
First Trimester Placental Biomarkers for Pregnancy Outcomes
The placenta plays a key role in several adverse obstetrical outcomes, such as preeclampsia, intrauterine growth restriction and gestational diabetes mellitus. The early identification of at-risk pregnancies could significantly improve the management, therapy and prognosis of these pregnancies, especially if these at-risk pregnancies are identified in ...
Martina Cristodoro +6 more
openaire +2 more sources
Emerging applications of artificial intelligence for obstetric ultrasound: A scoping review
Abstract Background The WHO recommends that all pregnant women receive an ultrasound (US) scan prior to 24 weeks gestation to encourage early identification of various conditions, such as fetal anomalies, multiple gestation, and placental abnormalities; however, global access to US remains limited.
Vani Gupta +3 more
wiley +1 more source
Understanding pre‐eclampsia and fetal growth restriction at high altitude: A narrative review
Abstract Pre‐eclampsia (PE) and fetal growth restriction (FGR) are among the leading causes of maternal and perinatal morbidity and mortality worldwide. Both conditions are more frequent and severe at high altitudes due to physiological changes in oxygen availability and vascular adaptation.
Víctor S. Rangel +6 more
wiley +1 more source
Effect of Vaginal Bleeding in First Trimester of Pregnancy on Pregnancy Outcomes
Background: Vaginal bleeding during pregnancy are one of the important causes of maternal, fetal and neonatal death. Women who remained pregnant after vaginal bleeding, are at risk to complication such intrauterine fetal death (IUFD), intra uterine ...
Soheyla Riahinejad +4 more
doaj
Early versus late amniotomy during twin labor
Abstract Objective This study evaluates whether timing of amniotomy affects labor characteristics and maternal and neonatal outcomes in twin deliveries. Methods This retrospective study was conducted at a single academic medical center and included dichorionic diamniotic (DCDA) twin pregnancies with a normal anomaly scan and a vertex‐presenting leading
Or Eliner +5 more
wiley +1 more source

