AIMC Topic: Pregnancy
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GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images.
Laboratory investigation; a journal of technical methods and pathology
Mar 5, 2021
The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and endocrine systems. Abnormalities in the placenta cause or reflect most abnormalities in gestation and can have life-long consequences for the mother and ...
Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low-risk women: A methods paper.
Research in nursing & health
Mar 2, 2021
Machine learning, a branch of artificial intelligence, is increasingly used in health research, including nursing and maternal outcomes research. Machine learning algorithms are complex and involve statistics and terminology that are not common in he...
Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.
BMC pregnancy and childbirth
Mar 2, 2021
BACKGROUND: This study introduced machine learning approaches to predict newborn's body mass index (BMI) based on ultrasound measures and maternal/delivery information.
Humans
Neural Networks, Computer
Adult
Body Size
Ultrasonography, Prenatal
Prenatal Diagnosis
Republic of Korea
Machine Learning
Body Mass Index
Birth Weight
Fetal Weight
Pregnancy
Gestational Age
Predictive Value of Tests
Prognosis
Female
Pregnancy Trimester, Third
Retrospective Studies
Infant, Newborn
Delivery, Obstetric
Integrated Learning: Screening Optimal Biomarkers for Identifying Preeclampsia in Placental mRNA Samples.
Computational and mathematical methods in medicine
Feb 23, 2021
Preeclampsia (PE) is a maternal disease that causes maternal and child death. Treatment and preventive measures are not sound enough. The problem of PE screening has attracted much attention. The purpose of this study is to screen placental mRNA to o...
Intrahepatic cholestasis of pregnancy: machine-learning algorithm to predict elevated bile acid based on clinical and laboratory data.
Archives of gynecology and obstetrics
Feb 19, 2021
PURPOSE: Applying machine-learning models to clinical and laboratory features of women with intrahepatic cholestasis of pregnancy (ICP) and creating algorithm to identify these patients without bile acid measurements.
Recognition of facial expression of fetuses by artificial intelligence (AI).
Journal of perinatal medicine
Feb 8, 2021
OBJECTIVES: The development of the artificial intelligence (AI) classifier to recognize fetal facial expressions that are considered as being related to the brain development of fetuses as a retrospective, non-interventional pilot study.
Integrated analysis of multiple microarray studies to identify novel gene signatures in preeclampsia.
Placenta
Feb 2, 2021
INTRODUCTION: Preeclampsia (PE) is one of the major causes of maternal and fetal morbidity and mortality in pregnancy worldwide. However, the intrinsic molecular mechanisms underlying the pathogenesis of PE have not yet been fully elucidated.
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.
IEEE transactions on medical imaging
Feb 2, 2021
Deep neural networks exhibit limited generalizability across images with different entangled domain features and categorical features. Learning generalizable features that can form universal categorical decision boundaries across domains is an intere...
Fetal birthweight prediction with measured data by a temporal machine learning method.
BMC medical informatics and decision making
Jan 25, 2021
BACKGROUND: Birthweight is an important indicator during the fetal development process to protect the maternal and infant safety. However, birthweight is difficult to be directly measured, and is usually roughly estimated by the empirical formulas ac...
Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.
Journal of cellular and molecular medicine
Jan 24, 2021
Selection of the best quality embryo is the key for a faithful implantation in in vitro fertilization (IVF) practice. However, the process of evaluating numerous images captured by time-lapse imaging (TLI) system is time-consuming and some important ...
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