AIMC Topic: Birth Weight

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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).
Image Processing, Computer-Assisted Birth Weight Infant, Premature Infant, Low Birth Weight Gestational Age Cross-Sectional Studies Male Diagnosis, Computer-Assisted ROC Curve Retinopathy of Prematurity Humans Neural Networks, Computer Algorithms Retrospective Studies Female Infant, Newborn Sensitivity and Specificity
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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...
Humans Machine Learning Fetal Development Ultrasonography Fetal Weight Algorithms Models, Statistical Pregnancy Predictive Value of Tests Female Birth Weight Adult Gestational Age
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Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.

Artificial intelligence in medicine Jul 25, 2019
OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical development and future health. As per the World Health Organization, India has the highest number of pre-term births [1], with over 3.5 million babies born...
Deep Learning India Support Vector Machine Decision Trees Birth Weight Neural Networks, Computer Algorithms Infant, Newborn Infant, Extremely Premature Intensive Care Units, Neonatal Clinical Decision Rules Apnea Heart Rate Datasets as Topic Infant, Premature Gestational Age Humans
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Automated retinopathy of prematurity screening using deep neural networks.

EBioMedicine Aug 27, 2018
BACKGROUND: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Automated ROP detection system is urgent and it appears to be a safe, reliable, and cost-effective complement to human experts.
Image Processing, Computer-Assisted Mass Screening Birth Weight Internet Databases as Topic Automation Gestational Age Retinopathy of Prematurity Neural Networks, Computer Algorithms Infant Deep Learning ROC Curve Humans
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17-hydroxiprogesterone values in healthy preterm infants.

Colombia medica (Cali, Colombia) Dec 30, 2017
INTRODUCTION: In preterm newborn, problems with the interpretation of 17-OHP may occur.
Birth Weight 17-alpha-Hydroxyprogesterone Cohort Studies Humans Infant, Premature Adrenal Hyperplasia, Congenital Enzyme-Linked Immunosorbent Assay Female Neonatal Screening Longitudinal Studies Infant, Newborn Gestational Age Follow-Up Studies Male
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Maternal urinary paraben levels and offspring size at birth from a Chinese birth cohort.

Chemosphere Dec 27, 2016
BACKGROUND: Parabens are suspected to impair fetal growth because of their endocrine disrupting effects. Epidemiological studies regarding the effects of prenatal exposure to parabens on birth outcomes are limited.
Middle Aged China Cohort Studies Birth Weight Humans Environmental Pollutants Pregnancy Body Height Female Infant, Newborn Maternal Exposure Linear Models Young Adult Parabens Fetal Development Adult Endocrine Disruptors Male
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Investigating the use of support vector machine classification on structural brain images of preterm-born teenagers as a biological marker.

PloS one Apr 2, 2015
Preterm birth has been shown to induce an altered developmental trajectory of brain structure and function. With the aid support vector machine (SVM) classification methods we aimed to investigate whether MRI data, collected in adolescence, could be ...
Biomarkers Female Premature Birth Male Adolescent Cognition Support Vector Machine Magnetic Resonance Imaging Birth Weight Neuroimaging Gray Matter Gestational Age Humans
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Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

Health care management science Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Diagnosis-Related Groups Hospital Administration Intensive Care Units, Neonatal Hospital Mortality Artificial Intelligence Logistic Models Pregnancy Birth Weight Humans Female Outcome Assessment, Health Care Premature Birth Socioeconomic Factors Pregnancy Complications Prenatal Care Bayes Theorem Gestational Age Risk Adjustment
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The Maternal Blood Transcriptome Reflects Changes in Fetal Growth and Is an Accurate Predictor of Birth Weight in Cattle.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Nov 15, 2025
Harnessing information from maternal blood to predict fetal growth is an emerging area of research in livestock production, offering a noninvasive tool to monitor development. This study aimed to investigate temporal changes in blood gene expression ...
Transcriptome Cattle Birth Weight Fetal Development Gene Expression Regulation, Developmental Pregnancy Female Animals
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Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors.

Journal of biomedical informatics Jun 1, 2025
BACKGROUND: Neonatal low birth weight (LBW) is a significant predictor of increased morbidity and mortality among newborns. Predominantly, traditional prediction methods depend heavily on ultrasonography, which does not consider risk factors affectin...
Humans Deep Learning Neural Networks, Computer Decision Support Systems, Clinical Pregnancy Machine Learning Birth Weight Female Infant, Low Birth Weight Infant, Newborn Risk Factors
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