AIMC Topic: Gestational Age

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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 ...
Placenta Pre-Eclampsia Diabetes, Gestational Image Interpretation, Computer-Assisted Gestational Age Histocytochemistry Humans Pregnancy Female Deep Learning
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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.
Female Infant, Newborn Adult Pregnancy Trimester, Third Humans Ultrasonography, Prenatal Delivery, Obstetric Neural Networks, Computer Body Size Machine Learning Prognosis Prenatal Diagnosis Body Mass Index Retrospective Studies Fetal Weight Predictive Value of Tests Republic of Korea Birth Weight Pregnancy Gestational Age
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Learning to map 2D ultrasound images into 3D space with minimal human annotation.

Medical image analysis Feb 16, 2021
In fetal neurosonography, aligning two-dimensional (2D) ultrasound scans to their corresponding plane in the three-dimensional (3D) space remains a challenging task. In this paper, we propose a convolutional neural network that predicts the position ...
Neuroimaging Gestational Age Humans Neural Networks, Computer Ultrasonography Image Processing, Computer-Assisted
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Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor.

Prenatal diagnosis Feb 12, 2021
OBJECTIVE: To investigate the performance of the machine learning (ML) model in predicting small-for-gestational-age (SGA) at birth, using second-trimester data.
Female Infant, Newborn Male Logistic Models Predictive Value of Tests Humans Machine Learning Retrospective Studies Singapore Gestational Age Nuchal Translucency Measurement Infant, Small for Gestational Age
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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Ophthalmology. Retina Feb 6, 2021
PURPOSE: Stage is an important feature to identify in retinal images of infants at risk of retinopathy of prematurity (ROP). The purpose of this study was to implement a convolutional neural network (CNN) for binary detection of stages 1, 2, and 3 in...
Gestational Age Retinopathy of Prematurity Photography North America Area Under Curve Birth Weight Datasets as Topic Reference Standards Nepal Infant, Newborn Reproducibility of Results Sensitivity and Specificity Male Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Humans Female
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Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale.

Ophthalmology Oct 27, 2020
PURPOSE: To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severity score for retinopathy of prematurity (ROP) by assessing its correlation with clinical ROP diagnosis and by measuring clinician agreement in applyin...
Retrospective Studies Infant, Newborn Severity of Illness Index Deep Learning Ophthalmoscopy Retinopathy of Prematurity Retinal Vessels Follow-Up Studies Humans Gestational Age Algorithms
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Fetal brain age estimation and anomaly detection using attention-based deep ensembles with uncertainty.

NeuroImage Sep 2, 2020
MRI-based brain age prediction has been widely used to characterize normal brain development, and deviations from the typical developmental trajectory are indications of brain abnormalities. Age prediction of the fetal brain remains unexplored, altho...
Humans Neural Networks, Computer Brain Fetal Development Uncertainty Image Processing, Computer-Assisted Magnetic Resonance Imaging Gestational Age Prenatal Diagnosis
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Automated detection of early-stage ROP using a deep convolutional neural network.

The British journal of ophthalmology Aug 23, 2020
BACKGROUND/AIM: To automatically detect and classify the early stages of retinopathy of prematurity (ROP) using a deep convolutional neural network (CNN).
Retinopathy of Prematurity Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Humans Neural Networks, Computer Algorithms Cross-Sectional Studies Male Diagnosis, Computer-Assisted ROC Curve Infant, Premature Image Processing, Computer-Assisted Infant, Low Birth Weight Birth Weight Gestational Age
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Reliability and accuracy of EEG interpretation for estimating age in preterm infants.

Annals of clinical and translational neurology Aug 7, 2020
OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers' estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants.
Electroencephalography Brain Diseases Infant, Premature Gestational Age Neonatology Infant, Newborn Reproducibility of Results Diagnosis, Computer-Assisted Predictive Value of Tests Humans Machine Learning Brain
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Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The international journal of cardiovascular imaging Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Echocardiography, Four-Dimensional Spatio-Temporal Analysis Diagnosis, Computer-Assisted Humans Reproducibility of Results Image Interpretation, Computer-Assisted Predictive Value of Tests Artificial Intelligence Young Adult Gestational Age Anatomic Landmarks Pregnancy Adult Double Outlet Right Ventricle Female Ultrasonography, Prenatal Fetal Heart
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