Results 171 to 180 of about 367,213 (360)

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

Increased first-trimester CA125 levels associated with the development of preeclampsia. [PDF]

open access: yesJ Transl Med
Yin A   +9 more
europepmc   +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

First‐trimester screening for chromosomal abnormalities by integrated application of nuchal translucency, nasal bone, tricuspid regurgitation and ductus venosus flow combined with maternal serum free β‐hCG and PAPP‐A: a 5‐year prospective study [PDF]

open access: bronze, 2011
Saeed Reza Ghaffari   +22 more
openalex   +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

First trimester prediction of gestational diabetes mellitus by machine learning in twin pregnancies. [PDF]

open access: yesArch Gynecol Obstet
Louzoun Y   +23 more
europepmc   +1 more source

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