AIMC Topic: Pregnancy Trimester, First

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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 (...
Humans Machine Learning Algorithms Nomograms Prospective Studies Predictive Value of Tests Pregnancy Pregnancy Trimester, First Female Hypertension, Pregnancy-Induced Adult
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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.
Humans Pregnancy Female Pregnancy Trimester, First Ultrasonography, Prenatal Chromosome Aberrations Lymphangioma, Cystic Deep Learning Ontario
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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.
Pregnancy-Associated Plasma Protein-A Prenatal Diagnosis Chorionic Gonadotropin, beta Subunit, Human Trisomy Biomarkers Pregnancy Infant Humans Female Deep Learning Adult Pregnancy Trimester, First Down Syndrome
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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 ...
Risk Factors Adult Sensitivity and Specificity China Machine Learning Pregnancy Female Diabetes, Gestational ROC Curve Primary Health Care Models, Statistical Pregnancy Trimester, First Humans
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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.
Humans Machine Learning Retrospective Studies Pregnancy Female Area Under Curve Pregnancy Trimester, First Pregnancy Trimester, Second Adult Premature Birth ROC Curve Parity Ontario Young Adult Logistic Models
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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).
Magnetic Resonance Imaging Pregnancy Trimester, First Humans Prenatal Care Fetus Retrospective Studies Infant Gestational Age Pregnancy Deep Learning Female Ultrasonography, Prenatal
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Fully automated, real-time 3D ultrasound segmentation to estimate first trimester placental volume using deep learning.

JCI insight Jun 7, 2018
We present a new technique to fully automate the segmentation of an organ from 3D ultrasound (3D-US) volumes, using the placenta as the target organ. Image analysis tools to estimate organ volume do exist but are too time consuming and operator depen...
Placenta Pregnancy Trimester, First Datasets as Topic Ultrasonography, Prenatal Deep Learning Imaging, Three-Dimensional Organ Size Humans Pregnancy Female
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Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Mar 4, 2018
OBJECTIVE: To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) at 11-13 weeks' gestation using computational intelligence classification methods.
Humans Risk Assessment Artificial Intelligence Pregnancy Trimester, First Pregnancy Down Syndrome Female Prenatal Diagnosis Sensitivity and Specificity
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Application of Neural Networks for classification of Patau, Edwards, Down, Turner and Klinefelter Syndrome based on first trimester maternal serum screening data, ultrasonographic findings and patient demographics.

BMC medical genomics Feb 13, 2018
BACKGROUND: The usage of Artificial Neural Networks (ANNs) for genome-enabled classifications and establishing genome-phenotype correlations have been investigated more extensively over the past few years. The reason for this is that ANNs are good ap...
Trisomy 18 Syndrome Klinefelter Syndrome Turner Syndrome Demography Middle Aged Female Prenatal Diagnosis Humans Adolescent Computational Biology Young Adult Trisomy 13 Syndrome Neural Networks, Computer Pregnancy Trimester, First Ultrasonography Adult Pregnancy Male Mothers Down Syndrome
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