AIMC Topic: Infant, Premature

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Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs).

PloS one Dec 19, 2019
Fetal yawning is of interest because of its clinical, developmental and theoretical implications. However, the methodological challenges of identifying yawns from ultrasonographic scans have not been systematically addressed. We report two studies th...
Humans Yawning Support Vector Machine Mouth Infant, Premature Female Infant, Newborn Male Fetus Ultrasonography, Prenatal
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Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning.

Physiological measurement Dec 2, 2019
UNLABELLED: Non-contact vital sign monitoring enables the estimation of vital signs, such as heart rate, respiratory rate and oxygen saturation (SpO), by measuring subtle color changes on the skin surface using a video camera. For patients in a hospi...
Infant, Newborn Male Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Female Video Recording Automation Infant, Premature Respiration Vital Signs Monitoring, Physiologic Signal Processing, Computer-Assisted Skin Heart
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Endocan serum concentration in uninfected newborn infants.

Journal of infection in developing countries Sep 30, 2019
INTRODUCTION: Endocan is a specific endothelial mediator involved in the inflammatory response. Its role in the diagnosis of sepsis has been studied in adult patients and late onset neonatal sepsis. The clinical signs of early onset sepsis (EOS) are ...
Neonatal Sepsis Protein Precursors Male Humans ROC Curve Biomarkers Predictive Value of Tests Female Infant, Premature Infant, Newborn
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Automated diagnosis and quantitative analysis of plus disease in retinopathy of prematurity based on deep convolutional neural networks.

Acta ophthalmologica Sep 27, 2019
BACKGROUND: The purpose of this study was to develop an automated diagnosis and quantitative analysis system for plus disease. The system provides a diagnostic decision but also performs quantitative analysis of the typical pathological features of t...
Infant, Extremely Low Birth Weight ROC Curve Angiogenesis Inhibitors Humans Image Interpretation, Computer-Assisted Intravitreal Injections Infant, Newborn Infant, Premature Ranibizumab Diagnosis, Computer-Assisted Retinopathy of Prematurity Deep Learning Retinal Vessels
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Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

Pediatric research Jul 27, 2019
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preterm infants due to the potential for the adhesive electrodes of conventional electrocardiogram (ECG) to cause damage to the epidermis. This study was pe...
Artificial Intelligence Algorithms Infant, Newborn Cross-Sectional Studies Electrocardiography Humans Heart Rate Infant, Premature Respiratory Rate Telemetry
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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...
Heart Rate Datasets as Topic Infant, Premature Gestational Age India Support Vector Machine Decision Trees Birth Weight Intensive Care Units, Neonatal Clinical Decision Rules Apnea Humans Neural Networks, Computer Algorithms Infant, Newborn Infant, Extremely Premature Deep Learning
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A machine learning investigation of volumetric and functional MRI abnormalities in adults born preterm.

Human brain mapping Jun 22, 2019
Imaging studies have characterized functional and structural brain abnormalities in adults after premature birth, but these investigations have mostly used univariate methods that do not account for hypothesized interdependencies between brain region...
Image Interpretation, Computer-Assisted Infant, Premature Male Longitudinal Studies Magnetic Resonance Imaging Brain Humans Brain Mapping Female Machine Learning Infant, Newborn Adult
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Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.

Pediatric research Mar 31, 2019
BACKGROUND: Machine learning models may enhance the early detection of clinically relevant hyperbilirubinemia based on patient information available in every hospital.
Humans Machine Learning Area Under Curve Internet Phototherapy Bilirubin Hyperbilirubinemia, Neonatal Male ROC Curve Longitudinal Studies Regression Analysis Retrospective Studies Infant, Premature Gestational Age Female Infant, Newborn Sensitivity and Specificity
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Pilot Testing a Robot for Reducing Pain in Hospitalized Preterm Infants.

OTJR : occupation, participation and health Feb 15, 2019
Optimizing neurodevelopment is a key goal of neonatal occupational therapy. In preterm infants, repeated procedural pain is associated with adverse effects on neurodevelopment long term. Calmer is a robot designed to reduce infant pain. The objective...
Occupational Therapy Pain Infant, Premature Intensive Care Units, Neonatal Child, Hospitalized Infant Care Male Pilot Projects Treatment Outcome Robotics Humans Female Infant, Newborn
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Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has important implications for clinical diagnosis, and for emerging methods such as telemedicine and computer-based image analysis. In this study, we trained ...
Telemedicine Infant, Premature Humans Retinopathy of Prematurity Neural Networks, Computer Algorithms ROC Curve Infant, Newborn Area Under Curve Reproducibility of Results Fundus Oculi Deep Learning Retina
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