AIMC Topic: Infant, Premature

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Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

Computational and mathematical methods in medicine Mar 27, 2022
In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial intelligence algorithm in neonatal respiratory distress syndrome (NRDS), an ultrasonic lung imaging diagnosis model based on a deep residual network (D...
Artificial Intelligence Algorithms Infant, Newborn Infant Humans Infant, Premature Respiratory Distress Syndrome, Newborn Lung Child Ultrasonography
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The Effects of Rso2 and PI Monitoring Images on the Treatment of Premature Infants Based on Deep Learning.

Computational and mathematical methods in medicine Feb 22, 2022
In recent years, due to the combined effects of individual behavior, psychological factors, environmental exposure, medical conditions, biological factors, etc., the incidence of preterm birth has gradually increased, so the incidence of various comp...
Image Interpretation, Computer-Assisted Infant, Premature Perfusion Index Brain Monitoring, Physiologic Female Posture Humans Deep Learning Infant, Newborn Oxygen Neural Networks, Computer Premature Birth Computational Biology Male
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Evaluation of Maturation in Preterm Infants Through an Ensemble Machine Learning Algorithm Using Physiological Signals.

IEEE journal of biomedical and health informatics Jan 17, 2022
This study was designed to test if heart rate variability (HRV) data from preterm and full-term infants could be used to estimate their functional maturational age (FMA), using a machine learning model. We propose that the FMA, and its deviation from...
Humans Infant Heart Rate Infant, Premature Gestational Age Machine Learning Algorithms Infant, Newborn
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Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort.

Scientific reports Nov 16, 2021
Despite the many comorbidities and high mortality rate in preterm infants with patent ductus arteriosus (PDA), therapeutic strategies vary depending on the clinical setting, and most studies of the related risk factors are based on small sample popul...
Cohort Studies Registries Infant, Premature Models, Cardiovascular Infant, Newborn Risk Factors Male Ductus Arteriosus, Patent Infant, Very Low Birth Weight Artificial Intelligence Female Humans
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Deep learning-based parameter estimation in fetal diffusion-weighted MRI.

NeuroImage Aug 26, 2021
Diffusion-weighted magnetic resonance imaging (DW-MRI) of fetal brain is challenged by frequent fetal motion and signal to noise ratio that is much lower than non-fetal imaging. As a result, accurate and robust parameter estimation in fetal DW-MRI re...
Fetus Gestational Age Anisotropy Diffusion Magnetic Resonance Imaging Motion Infant, Premature Signal-To-Noise Ratio Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Infant, Newborn Humans
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Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning.

Journal of digital imaging Jul 8, 2021
Retinopathy of prematurity (ROP) is a potentially blinding disorder seen in low birth weight preterm infants. In India, the burden of ROP is high, with nearly 200,000 premature infants at risk. Early detection through screening and treatment can prev...
Retina Infant, Premature Infant, Low Birth Weight Retinopathy of Prematurity Humans Infant, Newborn Deep Learning
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Automated Explainable Multidimensional Deep Learning Platform of Retinal Images for Retinopathy of Prematurity Screening.

JAMA network open May 3, 2021
IMPORTANCE: A retinopathy of prematurity (ROP) diagnosis currently relies on indirect ophthalmoscopy assessed by experienced ophthalmologists. A deep learning algorithm based on retinal images may facilitate early detection and timely treatment of RO...
Humans Female Infant, Newborn Deep Learning Area Under Curve Retinopathy of Prematurity Sensitivity and Specificity Male Infant, Premature Neonatal Screening Ophthalmoscopy
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Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.

Scientific reports Mar 8, 2021
To describe a database of longitudinally graded telemedicine retinal images to be used as a comparator for future studies assessing grader recall bias and ability to detect typical progression (e.g. International Classification of Retinopathy of Prem...
Infant, Premature Ophthalmoscopy Retinopathy of Prematurity Male Image Processing, Computer-Assisted Telemedicine Humans Artificial Intelligence Female Infant, Newborn
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Deep Learning for EEG Seizure Detection in Preterm Infants.

International journal of neural systems Jan 30, 2021
EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation in the preterm group is particularly challenging; trained experts are scarce and the task of interpreting EEG in real-time is arduous. Preterm infants are re...
Humans Deep Learning Infant, Newborn Electroencephalography Infant Epilepsy Seizures Infant, Premature
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Automatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infants.

Scientific reports Jan 12, 2021
To train, evaluate, and validate the application of a deep learning framework in three-dimensional ultrasound (3D US) for the automatic segmentation of ventricular volume in preterm infants with post haemorrhagic ventricular dilatation (PHVD). We tra...
Image Processing, Computer-Assisted Organ Size Humans Breast Heart Ventricles Sensitivity and Specificity Deep Learning Neural Networks, Computer Dilatation, Pathologic Ultrasonography Infant, Newborn Hypertrophy Imaging, Three-Dimensional Infant, Premature Software Design
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