AIMC Topic: Pregnancy

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Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.

The Journal of clinical endocrinology and metabolism Apr 22, 2025
CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabetes mellitus (GDM), has become a global concern. The predictive performance of common continuous glucose monitoring (CGM) metrics for LGA is limited.
Humans Machine Learning Infant, Newborn Adult Blood Glucose Predictive Value of Tests Prospective Studies Pregnancy Female Gestational Age Fetal Macrosomia Infant, Large for Gestational Age Birth Weight Blood Glucose Self-Monitoring Diabetes, Gestational
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Navigating Quality and Innovation: Actor-Network Theory and Hybrid Assemblages in Midwifery Practice, Implications of Maternity Early Warning Tools and Artificial Intelligence.

Nursing inquiry Apr 1, 2025
Midwifery philosophy views childbearing as primarily normal, indicative of a woman's overall health. Midwifery practice focuses on supporting the human-to-human relationship between the midwife and the woman holding primacy. Despite the traditional f...
Midwifery Pregnancy Female Maternal Health Services Humans Artificial Intelligence
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A deep learning tissue classifier based on differential co-expression genes predicts the pregnancy outcomes of cattle†.

Biology of reproduction Mar 16, 2025
Economic losses in cattle farms are frequently associated with failed pregnancies. Some studies found that the transcriptomic profiles of blood and endometrial tissues in cattle with varying pregnancy outcomes display discrepancies even before artifi...
Deep Learning Cattle Embryo Transfer Insemination, Artificial Pregnancy Outcome Endometrium Animals Gene Expression Profiling Transcriptome Pregnancy Female
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Text phrase-mining in identifying and classifying maternal proteins and genes across preeclampsia and similar pathologies.

Physiological reports Mar 1, 2025
This study aims to demonstrate that text phrase-mining and natural language processing (NLP) can annotate huge quantities of obstetrics textual data for the discovery and evaluation of maternal protein/gene (MPG)-disease interactions involved in the ...
Pregnancy Pre-Eclampsia Female Humans Data Mining Natural Language Processing Pregnancy Proteins
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Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly.

Radiology. Artificial intelligence Mar 1, 2025
Fetal ventriculomegaly (VM) and its severity and associated central nervous system (CNS) abnormalities are important indicators of high risk for impaired neurodevelopmental outcomes. Recently, a novel fetal brain age prediction method using a two-dim...
Pregnancy Female Deep Learning Humans Magnetic Resonance Imaging Prenatal Diagnosis Neural Networks, Computer Hydrocephalus Brain Gestational Age
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Artificial intelligence-driven analysis of embryo morphokinetics in singleton, twin, and triplet pregnancies.

Human reproduction (Oxford, England) Mar 1, 2025
In recent years, the transfer of more than one embryo has become less frequent to diminish multiple pregnancies. Even so, there is still a risk of one embryo splitting into two or even three. This report presents the case of a triamniotic monochorion...
Blastocyst Twins, Monozygotic Pregnancy, Triplet Pregnancy, Twin Artificial Intelligence Adult Pregnancy Embryo Transfer Female Humans Fertilization in Vitro
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[Research on intelligent fetal heart monitoring model based on deep active learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm ...
Cardiotocography Heart Rate, Fetal Fetal Monitoring Fetal Distress Pregnancy Humans Fetal Heart Female Neural Networks, Computer Deep Learning Algorithms
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Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language processing (NLP).
Female Obstetrics Natural Language Processing Electronic Health Records Language Pregnancy Semantics Social Stigma Humans
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Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning.

PloS one Jan 1, 2025
Preeclampsia is a pregnancy-specific disease characterized by new onset hypertension after 20 weeks of gestation that affects 2-8% of all pregnancies and contributes to up to 26% of maternal deaths. Despite extensive clinical research, current predic...
Humans Machine Learning Retrospective Studies Adult Risk Assessment Longitudinal Studies Pre-Eclampsia Pregnancy Female Risk Factors
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A scoping review and quality assessment of machine learning techniques in identifying maternal risk factors during the peripartum phase for adverse child development.

PloS one Jan 1, 2025
Maternal exposure to environmental risk factors (e.g., heavy metal exposure) or mental health problems during the peripartum phase has been shown to lead to negative and lasting impacts on child development and life in adulthood. Given the importance...
Humans Maternal Exposure Machine Learning Child Development Female Pregnancy Peripartum Period Risk Factors Child
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