Results 11 to 20 of about 33,033 (192)
Objective : to assess the effectiveness of participation in pregnancy classes to inform such a prenatal program for physicians and midwives, focusing to reduce the incidence of obstetric labor complications and cesarean section.
Apriska M. S. Putri+4 more
doaj +1 more source
Assessment and Management of Spontaneous Preterm Labor
Introduction One of the most significant contributors to neonatal morbidity and mortality is preterm labor and subsequent delivery. For any obstetric provider, this is among the most important diagnostic and management skills to develop quickly so as to ...
Hana Cobb+3 more
doaj +1 more source
Invasive Obstetric Procedures and Cesarean Sections in Women With Known Herpes Simplex Virus Status During Pregnancy. [PDF]
BackgroundNeonatal herpes is a potentially devastating infection that results from acquisition of herpes simplex virus (HSV) type 1 or 2 from the maternal genital tract at the time of vaginal delivery.
Drolette, Linda+7 more
core +1 more source
Background The purpose of the present study was to evaluate obstetric, maternal, and neonatal outcomes in COVID-19 compared to healthy pregnant women in Iran.
Seyed-Abdolvahab Taghavi+6 more
doaj +1 more source
Chlamydia trachomatis infection and the risk of perinatal mortality in Hungary [PDF]
Introduction: Chlamydial infections of the genital tract are thought to often lead to preterm birth, which is the most important perinatal problem in Hungary.
Ancel Y+8 more
core +1 more source
Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity [PDF]
Automatic blood vessel segmentation from retinal images plays an important role in the diagnosis of many systemic and eye diseases, including retinopathy of prematurity. Current state-of-the-art research in blood vessel segmentation from retinal images is based on convolutional neural networks.
arxiv +1 more source
Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning [PDF]
Fetal health classification is a critical task in obstetrics, enabling early identification and management of potential health problems. However, it remains challenging due to data complexity and limited labeled samples. This research paper presents a novel machine-learning approach for fetal health classification, leveraging a LightGBM classifier ...
arxiv +1 more source
Background Adverse drug reactions (ADR's) could be expected more frequently in pregnant women. This study was performed in order to identify ADR's to tocolytic drugs in hospitalised pregnant women.
Palma-Aguirre José+4 more
doaj +1 more source
L&D in the ED: A Game-Based Approach to Learning High-Risk Obstetric Emergencies. [PDF]
IntroductionTeaching emergency medicine residents the principles of obstetric emergencies is a challenging task, as these emergencies are uncommon in general practice and include specific maneuvers for difficult and precipitous deliveries.
Chen, Esther H, Silverio, Luz M
core +1 more source
Maternal Risk Factors Associated with Preterm Births among Pregnant Women in Mogadishu, Somalia
Background: Premature birth impacts millions of newborns annually. Sixty percent of the world’s preterm births occur in Sub-Saharan Africa and South Asia.
Abdifetah Ibrahim Omar+8 more
doaj +1 more source