AIMC Topic: Pregnancy

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XGBoost-based analysis of maternal and biochemical factors associated with spontaneous preterm birth: a retrospective cohort study.

BMC pregnancy and childbirth
BACKGROUND: Spontaneous preterm birth (sPTB) remains a major cause of neonatal morbidity and early risk assessment was poor. This study aimed to evaluate the association and predictive potential of serum biomarkers and maternal factors with sPTB.

Optimizing machine learning models for predicting health service access and determinants among pregnant women in rural Ethiopia.

Scientific reports
Pregnant women in rural Ethiopia face substantial barriers to accessing adequate healthcare services, contributing to adverse maternal and neonatal health outcomes. Traditional statistical approaches often fall short in capturing the complex, nonline...

Machine learning-based preliminary screening tool for clinical pregnancy prediction: towards management of IVF/ICSI stages.

Annals of medicine
BACKGROUND: Accurate prediction of pregnancy outcomes in assisted reproductive technology (ART) remains a clinical challenge due to the complexity and heterogeneity of IVF/ICSI cycles. Existing models often focus on isolated treatment stages and rely...

An interpretable delta ultrasound radiomics model for predicting live birth outcomes in single vitrified-warmed blastocyst transfer.

Journal of ovarian research
OBJECTIVE: To develop and validate an interpretable delta ultrasound radiomics model for predicting live birth following single vitrified-warmed blastocyst transfer (SVBT).

Machine learning-enhanced prediction of fetal growth restriction using fetal cardiac remodeling parameters.

BMC medicine
BACKGROUND: Fetal growth restriction (FGR) contributes to over 30% of late-pregnancy stillbirth, yet its diagnosis is challenging because current methods rely on indirect surrogate markers (estimated fetal weight and umbilical artery) that often fail...

Genetic factors in the risk assessment of preeclampsia: a review of recent findings.

Molecular biology reports
Preeclampsia, characterized by high blood pressure, proteinuria and organ dysfunction in severe cases is a hypertensive disorder that occurs during pregnancy. There is strong evidence that this disease, whose etiology remains unclear, is a complex co...

Precision integrated identification of predictive first-trimester metabolomics signatures for early detection of gestational diabetes mellitus.

Cardiovascular diabetology
BACKGROUND AND AIM: Gestational diabetes mellitus (GDM), a common pregnancy-related metabolic disorder, often goes undiagnosed until the second trimester, limiting early intervention opportunities. Given the higher prevalence of GDM in India, there i...

Precision medicine exploration of postpartum rectus abdominis muscle separation: from basic research to clinical practice.

BMC surgery
Postpartum diastasis recti abdominis (PDRA), characterized by pathological separation of the rectus abdominis muscles, affects 30%-60% of women, with many cases persisting beyond 6 months postpartum and having significant impacts on musculoskeletal f...

Prediction of uterine cavity conception environment using two-dimensional transvaginal ultrasound imaging semantic feature-based machine learning: a case-control study.

BMC pregnancy and childbirth
BACKGROUND: Independently investigating the association between pregnancy outcomes and the uterine cavity conception environment (UCCE) is challenging. Therefore, this study aimed to employ a range of machine learning algorithms to systematically ana...

IoT assisted fetal health classification using mother optimization algorithm with deep learning approach on cardiotocogram data.

Scientific reports
The adoption of the Internet of Things (IoT) for the application of smart health is an effective method for distributed and intelligent automated diagnosis systems. Fetal movement is a basic index of fetal well being. IoT based fetal health classific...