AIMC Topic: Pregnancy

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Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

IEEE/ACM transactions on computational biology and bioinformatics Sep 3, 2018
Genome-Wide Association Studies (GWAS) are used to identify statistically significant genetic variants in case-control studies. The main objective is to find single nucleotide polymorphisms (SNPs) that influence a particular phenotype (i.e., disease ...
Polymorphism, Single Nucleotide Computational Biology Black or African American Epistasis, Genetic Infant, Newborn Premature Birth Deep Learning Genome-Wide Association Study Humans Algorithms Pregnancy Female
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Artificial intelligence assistance for fetal head biometry: Assessment of automated measurement software.

Diagnostic and interventional imaging Sep 1, 2018
PURPOSE: To evaluate the feasibility and reproducibility of artificial intelligence software (Smartplanes) to automatically identify the transthalamic plane from 3D ultrasound volumes and to measure the biparietal diameter (BPD) and head circumferenc...
Reproducibility of Results Humans Ultrasonography, Prenatal Cephalometry Artificial Intelligence Feasibility Studies Software Fetus Pregnancy Female
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Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

Annals of epidemiology Aug 24, 2018
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at...
Gestational Age California Black or African American Birth Certificates Parity ROC Curve Predictive Value of Tests White People Humans Machine Learning Retrospective Studies Pregnancy Female Premature Birth
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Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.

IEEE transactions on medical imaging Aug 21, 2018
With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-subject and subject-to-template 3-D rigid registration, we propose deep learning-based methods that are trained to find the 3-D position of arbitrarily...
Magnetic Resonance Imaging Fetus Humans Algorithms Databases, Factual Brain Pregnancy Female Infant, Newborn Deep Learning Image Processing, Computer-Assisted
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Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms.

Journal of medical systems Aug 17, 2018
Periventricular leukomalacia (PVL) is brain injury that develops commonly in neonates after cardiac surgery. Earlier identification of patients who are at higher risk for PVL may improve clinicians' ability to optimize care for these challenging pati...
Algorithms Retrospective Studies Pregnancy Female Infant, Newborn Humans Machine Learning Reproducibility of Results Cardiac Surgical Procedures Leukomalacia, Periventricular
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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...
Neural Networks, Computer Machine Learning Retrospective Studies Pregnancy Female Humans Fetal Development Infant, Small for Gestational Age Fetal Macrosomia Gestational Weight Gain Nova Scotia Logistic Models Body Mass Index Smoking Pregnancy Trimester, Second Statistics as Topic Infant, Newborn Young Adult Adult Cohort Studies
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Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence.

Journal of assisted reproduction and genetics Jul 27, 2018
Mathematics rules the world of science. Innovative technologies based on mathematics have paved the way for implementation of novel strategies in assisted reproduction. Ascertaining efficient embryo selection in order to secure optimal pregnancy rate...
Blastocyst Laboratories Pregnancy Mathematics Female Pregnancy Rate Humans Fertilization in Vitro Artificial Intelligence Software
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Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 18, 2018
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reason for admission, indication for delivery, optimal steroid use, gestational age, and other potential...
Prospective Studies Prognosis Pregnancy Female Infant, Premature, Diseases Infant, Newborn Diagnostic Techniques, Obstetrical and Gynecological Premature Birth Infant, Small for Gestational Age Risk Factors Morbidity Adult Risk Assessment Humans Probability Male Infant Machine Learning Infant Mortality Severity of Illness Index Gestational Age Predictive Value of Tests Stillbirth
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Fetal health status prediction based on maternal clinical history using machine learning techniques.

Computer methods and programs in biomedicine Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Congenital Abnormalities Internet Telemedicine Fetus Perception ROC Curve Female Health Status Mobile Applications Reproducibility of Results Humans Regression Analysis Logistic Models Ultrasonography, Prenatal Machine Learning Decision Trees Support Vector Machine Diagnosis, Computer-Assisted Algorithms Area Under Curve Pregnancy Bayes Theorem
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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...
Humans Pregnancy Pregnancy Trimester, First Deep Learning Female Datasets as Topic Imaging, Three-Dimensional Ultrasonography, Prenatal Organ Size Placenta
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