AIMC Topic: Fetal Development

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Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning.

Artificial intelligence in medicine Nov 17, 2019
Obstetric ultrasound examination of physiological parameters has been mainly used to estimate the fetal weight during pregnancy and baby weight before labour to monitor fetal growth and reduce prenatal morbidity and mortality. However, the problem is...
Humans Fetal Weight Ultrasonography Models, Statistical Predictive Value of Tests Birth Weight Gestational Age Pregnancy Machine Learning Fetal Development Algorithms Female Adult
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Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.

BMC pregnancy and childbirth Aug 15, 2018
BACKGROUND: While there is increasing interest in identifying pregnancies at risk for adverse outcome, existing prediction models have not adequately assessed population-based risks, and have been based on conventional regression methods. The objecti...
Smoking Pregnancy Trimester, Second Statistics as Topic Logistic Models Body Mass Index Gestational Weight Gain Nova Scotia Fetal Development Infant, Small for Gestational Age Fetal Macrosomia Pregnancy Female Infant, Newborn Young Adult Adult Cohort Studies Neural Networks, Computer Machine Learning Retrospective Studies Humans
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Maternal urinary paraben levels and offspring size at birth from a Chinese birth cohort.

Chemosphere Dec 27, 2016
BACKGROUND: Parabens are suspected to impair fetal growth because of their endocrine disrupting effects. Epidemiological studies regarding the effects of prenatal exposure to parabens on birth outcomes are limited.
Linear Models Parabens Endocrine Disruptors Environmental Pollutants Body Height Maternal Exposure Adult Female China Humans Fetal Development Male Infant, Newborn Pregnancy Cohort Studies Young Adult Birth Weight Middle Aged
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The potential of AOP networks for reproductive and developmental toxicity assay development.

Reproductive toxicology (Elmsford, N.Y.) Apr 15, 2015
Historically, the prediction of reproductive and developmental toxicity has largely relied on the use of animals. The adverse outcome pathway (AOP) framework forms a basis for the development of new non-animal test methods. It also provides biologica...
Knowledge Bases Reproduction Embryonic Development Toxicity Tests Animal Testing Alternatives Systems Integration Gene Regulatory Networks Computer Simulation Fetal Development Signal Transduction Pregnancy Animals Gene Expression Regulation, Developmental Models, Biological Female Risk Assessment Humans
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Automated Segmentation of Fetal Intracranial Volume in Three-Dimensional Ultrasound Using Deep Learning: Identifying Sex Differences in Prenatal Brain Development.

Human brain mapping Dec 1, 2024
The human brain undergoes major developmental changes during pregnancy. Three-dimensional (3D) ultrasound images allow for the opportunity to investigate typical prenatal brain development on a large scale. Transabdominal ultrasound can be challengin...
Pregnancy Female Male Humans Brain Longitudinal Studies Sex Characteristics Fetal Development Ultrasonography, Prenatal Deep Learning Imaging, Three-Dimensional
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Machine Learning for Fetal Growth Prediction.

Epidemiology (Cambridge, Mass.) Mar 1, 2018
Birthweight is often used as a proxy for fetal weight. Problems with this practice have recently been brought to light. We explore whether data available at birth can be used to predict estimated fetal weight using linear and quantile regression, ran...
Pregnancy Pregnancy Trimesters Female Machine Learning Adult Algorithms Humans Regression Analysis Databases, Factual Fetal Development Fetal Weight
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