Results 151 to 160 of about 246,372 (310)

Induced abortion in the world: 3. In search of a minimum common ground

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract The rising worldwide trend toward legalization of termination of pregnancy has been accompanied by increased polarization around abortion. Two opposite broad coalitions emerged from this confrontation, generally known as the “pro‐life” and “pro‐choice” movements. The basic issue for pro‐life advocates is that the protection of “innocent, human
Giuseppe Benagiano   +4 more
wiley   +1 more source

Artificial intelligence application in the prediction of spontaneous preterm birth by cervical length in the first trimester of pregnancy: Comparison of three measurement methods

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
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

Post protocol residual thickness as a negative predictor for pharmacological treatment in early pregnancy loss

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
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

Machine learning‐based prediction of large‐for‐gestational‐age neonates in diabetic and non‐diabetic pregnancies

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
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

Neutrophil‐to‐lymphocyte ratio at admission helps to predict the need for blood transfusion after vaginal delivery

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
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

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
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

Understanding pre‐eclampsia and fetal growth restriction at high altitude: A narrative review

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
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

P21.09: Third trimester amniocentesis [PDF]

open access: yesUltrasound in Obstetrics & Gynecology, 2011
I. Offiah, F. Harrington, K. O'Donoghue
openaire   +1 more source

Home - About - Disclaimer - Privacy