AIMC Topic: Pregnancy Trimester, First

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Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation.

BMC pregnancy and childbirth Sep 16, 2024
BACKGROUND: It remains unclear which early gestational biomarkers can be used in predicting later development of gestational diabetes mellitus (GDM). We sought to identify the optimal combination of early gestational biomarkers in predicting GDM in m...
China Blood Glucose ROC Curve Insulin-Like Growth Factor I Pregnancy Female Adult Case-Control Studies Fibronectins Diabetes, Gestational Adiponectin Sex Hormone-Binding Globulin Insulin-Like Growth Factor Binding Protein 2 Logistic Models Predictive Value of Tests C-Reactive Protein Pregnancy Trimester, First Humans Machine Learning Biomarkers
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The early prediction of gestational diabetes mellitus by machine learning models.

BMC pregnancy and childbirth Aug 31, 2024
BACKGROUND: We aimed to determine the best-performing machine learning (ML)-based algorithm for predicting gestational diabetes mellitus (GDM) with sociodemographic and obstetrics features in the pre-conceptional period.
Humans Machine Learning Body Mass Index Predictive Value of Tests Risk Factors Glucose Tolerance Test Algorithms Pregnancy Trimester, First Young Adult Diabetes, Gestational Pregnancy Adult Female Blood Glucose Parity
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Prediction of chromosomal abnormalities in the screening of the first trimester of pregnancy using machine learning methods: a study protocol.

Reproductive health Jul 3, 2024
BACKGROUND: For women in the first trimester, amniocentesis or chorionic villus sampling is recommended for screening. Machine learning has shown increased accuracy over time and finds numerous applications in enhancing decision-making, patient care,...
Pregnancy Female Adult Cross-Sectional Studies Humans Machine Learning Chromosome Disorders Amniocentesis Pregnancy Trimester, First Iran Chromosome Aberrations Prenatal Diagnosis
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A novel artificial intelligence model for measuring fetal intracranial markers during the first trimester based on two-dimensional ultrasound image.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Jun 30, 2024
OBJECTIVE: To establish reference ranges of fetal intracranial markers during the first trimester and develop the first novel artificial intelligence (AI) model to measure key markers automatically.
Fetus Gestational Age Artificial Intelligence Retrospective Studies Pregnancy Female Adult Ultrasonography, Prenatal Pregnancy Trimester, First Reference Values Humans
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Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data.

Archives of women's mental health May 22, 2024
PURPOSE: To develop a machine learning algorithm, using patient-reported data from early pregnancy, to predict later onset of first time moderate-to-severe depression.
Pregnancy Trimester, First Self Report Pregnancy Complications Depression Humans Mobile Applications Machine Learning United States Pregnancy Longitudinal Studies Female Risk Factors Adult
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Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Apr 26, 2024
OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population.
ROC Curve Predictive Value of Tests Pregnancy Trimester, First Pre-Eclampsia Asian People Asia Placenta Growth Factor Prenatal Diagnosis Prospective Studies Pregnancy Female Adult Humans Uterine Artery Artificial Intelligence Pulsatile Flow Machine Learning
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Multiplexed serum biomarkers to discriminate nonviable and ectopic pregnancy.

Fertility and sterility Apr 26, 2024
OBJECTIVE: To evaluate combinations of candidate biomarkers to develop a multiplexed prediction model for identifying the viability and location of an early pregnancy. In this study, we assessed 24 biomarkers with multiple machine learning-based meth...
Pregnancy, Ectopic Humans Machine Learning Biomarkers Diagnosis, Differential Pregnancy Female Predictive Value of Tests Reproducibility of Results Pregnancy Trimester, First Adult Abortion, Spontaneous Case-Control Studies
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Deep-learning computer vision can identify increased nuchal translucency in the first trimester of pregnancy.

Prenatal diagnosis Apr 1, 2024
OBJECTIVE: Many fetal anomalies can already be diagnosed by ultrasound in the first trimester of pregnancy. Unfortunately, in clinical practice, detection rates for anomalies in early pregnancy remain low. Our aim was to use an automated image segmen...
Pregnancy Trimester, First Nuchal Translucency Measurement Female Adult Humans Ultrasonography, Prenatal Deep Learning Pregnancy
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Artificial Intelligence in Imaging in the First Trimester of Pregnancy: A Systematic Review.

Fetal diagnosis and therapy Mar 18, 2024
INTRODUCTION: Ultrasonography in the first trimester of pregnancy offers an early screening tool to identify high risk pregnancies. Artificial intelligence (AI) algorithms have the potential to improve the accuracy of diagnosis and assist the clinici...
Female Humans Ultrasonography, Prenatal Artificial Intelligence Pregnancy Trimester, First Algorithms Pregnancy
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Use of artificial intelligence embryo selection based on static images to predict first-trimester pregnancy loss.

Reproductive biomedicine online Mar 5, 2024
RESEARCH QUESTION: Can an artificial intelligence embryo selection assistant predict the incidence of first-trimester spontaneous abortion using static images of IVF embryos?
Abortion, Spontaneous Blastocyst Single Embryo Transfer Artificial Intelligence Preimplantation Diagnosis Humans Retrospective Studies Adult Pregnancy Embryo Transfer Female Fertilization in Vitro Pregnancy Trimester, First
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