Results 301 to 310 of about 936,805 (385)

Effects of maternal education on maternal and perinatal outcomes: An individual participant data meta‐analysis of 2 356 402 pregnancies

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background Maternal and perinatal mortality remain critical indicators of global health inequity. In 2020, an estimated 287 000 women died from preventable causes related to pregnancy, and in 2021, approximately 2.3 million neonatal deaths occurred within the first 28 days of life. A recently defined risk group, small vulnerable newborns (SVNs,
Laura‐Margarita Bello‐Álvarez   +4 more
wiley   +1 more source

Prenatal diagnosis of rare genetic disorders: fourteen years' experience of a tertiary genetic centre from India. [PDF]

open access: yesOrphanet J Rare Dis
Sheth J   +20 more
europepmc   +1 more source

Emergency cesarean hysterectomy for placenta accreta spectrum: Estimation of maternal morbidity and mortality

open access: yes
International Journal of Gynecology &Obstetrics, EarlyView.
Koji Matsuo   +6 more
wiley   +1 more source

Rhesus testing and anti‐D prophylaxis in RhD‐negative women undergoing first‐trimester abortion—Systematic Review and Opinion

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background The introduction of immunoglobulin G (IgG) anti‐D prophylaxis for Rhesus D (RhD)‐negative women has substantially reduced the incidence of RhD alloimmunization and hemolytic disease of the fetus and newborn in Europe by 85%, transforming fetal health outcomes.
Kristina Gemzell‐Danielsson   +11 more
wiley   +1 more source

Leveraging artificial intelligence for evidence‐based recommendations in uterine fibroid therapy: Addressing the unmet need in German healthcare—A clinical trial

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To evaluate the potential of an artificial intelligence (AI)‐driven large language model, ChatGPT 4.0, to provide personalized, evidence‐based treatment recommendations for uterine fibroids. Methods ChatGPT 4.0 was trained using evidence‐based data from Uptodate and German medical literature.
Iason Psilopatis   +5 more
wiley   +1 more source

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