Results 141 to 150 of about 287,121 (261)
Abstract Objectives The current study evaluates the efficacy of artificial intelligence (AI)–assisted measurement of cervical length (CL) in predicting spontaneous preterm birth (sPTB), comparing the traditional single‐line and two‐line methods with the innovative AI‐line method in the first trimester of pregnancy. Materials and Methods This study is a
Yi‐yun Tai +4 more
wiley +1 more source
Abstract Objective To determine the rate of pharmacological treatment failure in early pregnancy loss, assess post‐treatment residua thickness as a predictor of retained products of conception (RPOC), identify a clinically relevant cutoff, and evaluate additional clinical and sonographic predictors. Methods This retrospective cohort study was conducted
Ravit Pertez‐Machluf +7 more
wiley +1 more source
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
Laparoscopic cholecystectomy during pregnancy: A case series
This study was conducted to evaluate the safety of laparoscopic cholecystectomy (LC) during pregnancy. Patients who underwent LC were selected from several hospital databases, only six were performed during pregnancy.
Amoli Hadi +4 more
doaj
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
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
Prenatal paracetamol exposure and wheezing in infancy: a targeted maximum likelihood estimation application. [PDF]
Moccia C +11 more
europepmc +1 more source
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
Evaluating the safety of prenatal HIV PrEP use: Perinatal outcomes from three cohort studies in Western Kenya. [PDF]
Odhiambo B +16 more
europepmc +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

