AIMC Topic: Gestational Age

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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 Female Infant, Newborn Sensitivity and Specificity Cross-Sectional Studies Birth Weight Infant, Premature Male Humans Infant, Low Birth Weight Diagnosis, Computer-Assisted Gestational Age Neural Networks, Computer ROC Curve Algorithms Image Processing, Computer-Assisted Retrospective Studies
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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.
Humans Machine Learning Brain Electroencephalography Brain Diseases Infant, Premature Gestational Age Neonatology Infant, Newborn Reproducibility of Results Diagnosis, Computer-Assisted Predictive Value of Tests
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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 (...
Humans Artificial Intelligence Pregnancy Female Spatio-Temporal Analysis Diagnosis, Computer-Assisted Predictive Value of Tests Anatomic Landmarks Image Interpretation, Computer-Assisted Reproducibility of Results Young Adult Adult Ultrasonography, Prenatal Gestational Age Double Outlet Right Ventricle Fetal Heart Echocardiography, Four-Dimensional
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Fetal growth and gestational age prediction by machine learning.

The Lancet. Digital health Jun 23, 2020
Humans Cohort Studies Gestational Age Fetal Development Machine Learning Prospective Studies
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Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.

The Lancet. Digital health Jun 23, 2020
BACKGROUND: Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestati...
Internationality Gestational Age Biometry Fetal Development Pregnancy Female Humans Ultrasonography Machine Learning Data Accuracy Algorithms Prospective Studies
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A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images.

International journal of computer assisted radiology and surgery Jun 15, 2020
PURPOSE: The evaluation of fetal lung maturity is critical for clinical practice since the lung immaturity is an important cause of neonatal morbidity and mortality. For the evaluation of the development of fetal lung maturation degree, our study est...
Infant, Newborn Ultrasonography, Prenatal Lung Gestational Age Humans Machine Learning Pregnancy Female
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Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale.

Ophthalmology. Retina May 4, 2020
PURPOSE: Retinopathy of prematurity is a leading cause of childhood blindness worldwide, but clinical diagnosis is subjective, which leads to treatment differences. Our goal was to determine objective differences in the diagnosis of plus disease betw...
Deep Learning Gestational Age Female Humans Retinopathy of Prematurity Infant, Newborn Algorithms Male Retrospective Studies Severity of Illness Index
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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Head Female Gestational Age Delivery, Obstetric Infant, Newborn Organ Size Vaginal Birth after Cesarean Cesarean Section Humans Apgar Score Fetal Weight Risk Factors Area Under Curve Machine Learning Extraction, Obstetrical Parity Tertiary Care Centers Retrospective Studies Adult Trial of Labor Feasibility Studies Pregnancy Risk Assessment Uterine Rupture ROC Curve
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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...
Birth Weight Gestational Age Fetal Development Fetal Weight Humans Adult Machine Learning Ultrasonography Algorithms Models, Statistical Pregnancy Predictive Value of Tests Female
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Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images.

Journal of medical engineering & technology Sep 10, 2019
This paper presents an advanced approach for foetal brain abnormalities diagnostic by integrating significant biometric features in the identification process. In foetal anomaly diagnosis, manual evaluation of foetal behaviour in ultrasound images is...
Gestational Age Image Processing, Computer-Assisted Humans Biometry Support Vector Machine Databases, Factual Prenatal Diagnosis Head Brain Fetus Ultrasonography
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