AIMC Topic: Pregnancy

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Automatic grading of human blastocysts from time-lapse imaging.

Computers in biology and medicine Oct 15, 2019
BACKGROUND: Blastocyst morphology is a predictive marker for implantation success of in vitro fertilized human embryos. Morphology grading is therefore commonly used to select the embryo with the highest implantation potential. One of the challenges,...
Female Deep Learning Humans Image Processing, Computer-Assisted Pregnancy Fertilization in Vitro Blastocyst Time-Lapse Imaging
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Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer Learning.

IEEE transactions on medical imaging Oct 7, 2019
Fetal congenital heart disease (FHD) is a common and serious congenital malformation in children. In Asia, FHD birth defect rates have reached as high as 9.3%. For the early detection of birth defects and mortality, echocardiography remains the most ...
Ultrasonography, Prenatal Deep Learning Video Recording Image Interpretation, Computer-Assisted Pregnancy Female Echocardiography Heart Defects, Congenital Humans Algorithms
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[Artificial intelligence and fetal imaging: What are we talking about?].

Gynecologie, obstetrique, fertilite & senologie Oct 4, 2019
Female Humans Ultrasonography, Prenatal Artificial Intelligence Prenatal Care Pregnancy Physician's Role
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Personalized prediction of live birth prior to the first in vitro fertilization treatment: a machine learning method.

Journal of translational medicine Sep 23, 2019
BACKGROUND: Infertility has become a global health issue with the number of couples seeking in vitro fertilization (IVF) worldwide continuing to rise. Some couples remain childless after several IVF cycles. Women undergoing IVF face greater risks and...
Humans Machine Learning Algorithms Pregnancy Models, Biological Live Birth Female Reproducibility of Results Adult Fertilization in Vitro
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Metabolomics meets machine learning: Longitudinal metabolite profiling in serum of normal versus overconditioned cows and pathway analysis.

Journal of dairy science Sep 20, 2019
This study aimed to investigate the differences in the metabolic profiles in serum of dairy cows that were normal or overconditioned when dried off for elucidating the pathophysiological reasons for the increased health disturbances commonly associat...
Parturition Biogenic Amines Physical Conditioning, Animal Animals Diet Cattle Metabolomics Body Weight Lactation Energy Metabolism Milk Machine Learning Pregnancy Female Parity
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Multi-task learning for quality assessment of fetal head ultrasound images.

Medical image analysis Sep 6, 2019
It is essential to measure anatomical parameters in prenatal ultrasound images for the growth and development of the fetus, which is highly relied on obtaining a standard plane. However, the acquisition of a standard plane is, in turn, highly subject...
Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Pregnancy Head Female Ultrasonography, Prenatal
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Prediction of metabolic status of dairy cows in early lactation with on-farm cow data and machine learning algorithms.

Journal of dairy science Aug 30, 2019
Metabolic status of dairy cows in early lactation can be evaluated using the concentrations of plasma β-hydroxybutyrate (BHB), free fatty acids (FFA), glucose, insulin, and insulin-like growth factor 1 (IGF-1). These plasma metabolites and metabolic ...
Parity Animals Machine Learning Algorithms Energy Metabolism Farms Insulin Pregnancy Milk Blood Glucose Cattle Female Fatty Acids, Nonesterified Body Weight 3-Hydroxybutyric Acid Lactation
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Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning.

European radiology Aug 23, 2019
OBJECTIVE: The aim of this study was to investigate whether intraplacental texture features from routine placental MRI can objectively and accurately predict invasive placentation.
Adult Magnetic Resonance Imaging Placenta Placentation Prenatal Diagnosis Humans Placenta Previa Machine Learning Retrospective Studies Algorithms Pregnancy Female Young Adult
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Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.

BMC medical informatics and decision making Aug 23, 2019
BACKGROUND: A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative culture results. By reducing the ...
Urinary Tract Infections Workload Urinalysis Young Adult Humans Retrospective Studies Infant Artificial Intelligence Adult Neural Networks, Computer Pregnancy Adolescent Machine Learning Male Female Child, Preschool Algorithms Middle Aged Aged Child
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Prediction model development of late-onset preeclampsia using machine learning-based methods.

PloS one Aug 23, 2019
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the lack of effective preventive measures, its prediction is essential to its prompt management. This study aimed to develop models using machine learning...
Bayes Theorem Pre-Eclampsia Age of Onset Pregnancy Trimester, Second Female Humans Adult Gestational Age Machine Learning Logistic Models Pregnancy Trimester, Third Pregnancy Support Vector Machine
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