AIMC Topic: Pregnancy Trimester, First

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Large-scale proteomics in the first trimester of pregnancy predict psychopathology and temperament in preschool children: an exploratory study.

Journal of child psychology and psychiatry, and allied disciplines Jan 29, 2024
BACKGROUND: Understanding the prenatal origins of children's psychopathology is a fundamental goal in developmental and clinical science. Recent research suggests that inflammation during pregnancy can trigger a cascade of fetal programming changes t...
Humans Machine Learning Pregnancy Female Pregnancy Trimester, First Prenatal Exposure Delayed Effects Temperament Adult Child Behavior Male Child, Preschool Proteomics
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Serum myosin-binding protein c levels: a new marker for exclusion of preterm birth?

Turkish journal of medical sciences Sep 9, 2023
BACKGROUND/AIM: To evaluate whether there is a relationship between serum myosin-binding protein C (MyBP-C) levels measured in the first trimester and the timing of delivery, and, if a relationship is detected, the potential of this relationship in d...
Case-Control Studies Pregnancy Pregnancy Trimester, First Humans ROC Curve Prospective Studies Female Carrier Proteins Biomarkers Premature Birth Adult
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Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.

Archives of gynecology and obstetrics Jul 21, 2023
PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnancies and offspring warrant the development of an effective individualized risk prediction model to reduce and prevent GDM together with its associated...
Pregnancy Trimester, First Glycated Hemoglobin Diabetes, Gestational Female Humans Adult Machine Learning Risk Assessment Cohort Studies Algorithms China ROC Curve Pregnancy Logistic Models Body Mass Index
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Machine-learning predictive model of pregnancy-induced hypertension in the first trimester.

Hypertension research : official journal of the Japanese Society of Hypertension May 9, 2023
In the first trimester of pregnancy, accurately predicting the occurrence of pregnancy-induced hypertension (PIH) is important for both identifying high-risk women and adopting early intervention. In this study, we used four machine-learning models (...
Pregnancy Female Adult Nomograms Humans Machine Learning Algorithms Prospective Studies Predictive Value of Tests Pregnancy Trimester, First Hypertension, Pregnancy-Induced
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Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester.

PloS one Jun 22, 2022
OBJECTIVE: To develop and internally validate a deep-learning algorithm from fetal ultrasound images for the diagnosis of cystic hygromas in the first trimester.
Lymphangioma, Cystic Deep Learning Ontario Pregnancy Trimester, First Chromosome Aberrations Pregnancy Female Ultrasonography, Prenatal Humans
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Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images.

JAMA network open Jun 1, 2022
IMPORTANCE: Accurate screening of trisomy 21 in the first trimester can provide an early opportunity for decision-making regarding reproductive choices.
Prenatal Diagnosis Chorionic Gonadotropin, beta Subunit, Human Trisomy Pregnancy-Associated Plasma Protein-A Deep Learning Pregnancy Trimester, First Down Syndrome Humans Biomarkers Pregnancy Female Adult Infant
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An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.

BMC pregnancy and childbirth Dec 8, 2021
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the critical causes of adverse perinatal outcomes. A reliable estimate of GDM in early pregnancy would facilitate intervention plans for maternal and infant health care to prevent the risk of ...
Sensitivity and Specificity China ROC Curve Models, Statistical Pregnancy Humans Primary Health Care Female Machine Learning Pregnancy Trimester, First Risk Factors Diabetes, Gestational Adult
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Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy.

Computer methods and programs in biomedicine Nov 10, 2021
BACKGROUND: Clinical models to predict first trimester viability are traditionally based on multivariable logistic regression (LR) which is not directly interpretable for non-statistical experts like physicians. Furthermore, LR requires complete data...
Humans Machine Learning Prospective Studies Pregnancy Female Logistic Models Pregnancy Trimester, First
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Prediction of preterm birth in nulliparous women using logistic regression and machine learning.

PloS one Jun 30, 2021
OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning.
Parity Young Adult Adult ROC Curve Pregnancy Humans Female Machine Learning Premature Birth Pregnancy Trimester, Second Retrospective Studies Ontario Logistic Models Area Under Curve Pregnancy Trimester, First
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Deep learning model for predicting gestational age after the first trimester using fetal MRI.

European radiology Apr 14, 2021
OBJECTIVES: To evaluate a deep learning model for predicting gestational age from fetal brain MRI acquired after the first trimester in comparison to biparietal diameter (BPD).
Fetus Gestational Age Infant Deep Learning Magnetic Resonance Imaging Pregnancy Trimester, First Female Ultrasonography, Prenatal Prenatal Care Humans Retrospective Studies Pregnancy
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