AIMC Topic: Infant, Newborn

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Ossification area localization in pediatric hand radiographs using deep neural networks for object detection.

PloS one Nov 16, 2018
BACKGROUND: Detection of ossification areas of hand bones in X-ray images is an important task, e.g. as a preprocessing step in automated bone age estimation. Deep neural networks have emerged recently as de facto standard detection methods, but thei...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Female Infant, Newborn Infant Male Radiography Adolescent Hand Child, Preschool Osteogenesis Child Data Curation
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Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors.

International journal of environmental research and public health Nov 9, 2018
Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading causes of mortality in premature neonates; with major nutritional and neurodevelopmental sequelae. Since predicting which neonates will develop perforat...
Male Adolescent Intestinal Perforation Enterocolitis, Necrotizing Female Infant, Newborn Young Adult Adult Humans Neural Networks, Computer Machine Learning
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Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces.

IEEE transactions on neural networks and learning systems Nov 6, 2018
The unprecedented increase in data volume has become a severe challenge for conventional patterns of data mining and learning systems tasked with handling big data. The recently introduced Spark platform is a new processing method for big data analys...
Humans Cerebral Cortex Game Theory Neural Networks, Computer Algorithms Infant, Newborn Cluster Analysis
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Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.

Radiology Nov 6, 2018
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Humans Neural Networks, Computer Databases, Factual Adolescent Child, Preschool Young Adult Child ROC Curve Adult Female Radiographic Image Interpretation, Computer-Assisted Male Infant, Newborn Heart Failure Middle Aged Aged Infant Natriuretic Peptide, Brain Aged, 80 and over Radiography, Thoracic Thorax
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A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Journal of medical systems Nov 3, 2018
Skeletal bone age assessment is a widely used standard procedure in both disease detection and growth prediction for children in endocrinology. Conventional manual assessment methods mainly rely on personal experience in observing X-ray images of lef...
Infant, Newborn Male Infant Adolescent Child, Preschool Humans Neural Networks, Computer Algorithms Female Wrist Hand Sex Factors Racial Groups Age Determination by Skeleton Child Image Processing, Computer-Assisted Support Vector Machine Age Factors
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Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features.

Journal of pediatric urology Oct 31, 2018
INTRODUCTION: Anatomic characteristics of kidneys derived from ultrasound images are potential biomarkers of children with congenital abnormalities of the kidney and urinary tract (CAKUT), but current methods are limited by the lack of automated proc...
Deep Learning Female Ultrasonography Infant, Newborn Vesico-Ureteral Reflux Humans Male Urogenital Abnormalities Prospective Studies Infant Diagnosis, Computer-Assisted
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Increased risk of group B Streptococcus causing meningitis in infants with mannose-binding lectin deficiency.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Oct 25, 2018
OBJECTIVES: To evaluate the association of mannose-binding lectin (MBL) deficiency with susceptibility and clinical features of group B Streptococcus (GBS) causing meningitis in Chinese infants.
Mannose-Binding Lectin Meningitis, Bacterial Infant Young Adult Humans Genetic Association Studies Metabolism, Inborn Errors Case-Control Studies Alleles Female Adult Polymorphism, Genetic China Streptococcal Infections Infant, Newborn Male Genotype Streptococcus agalactiae Risk Factors Middle Aged Disease Susceptibility
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Newborn self-inflating manual resuscitators: precision robotic testing of safety and reliability.

Archives of disease in childhood. Fetal and neonatal edition Oct 18, 2018
AIM: A controlled bench test was undertaken to determine the performance variability among a range of neonatal self-inflating bags (SIB) compliant with current International Standards Organisation (ISO).
Infant Care Equipment Design Insufflation Cardiopulmonary Resuscitation Humans Equipment Safety Infant, Newborn Respiration, Artificial Positive-Pressure Respiration Robotics
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Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.

IEEE transactions on medical imaging Oct 9, 2018
The early postnatal period witnesses rapid and dynamic brain development. However, the relationship between brain anatomical structure and cognitive ability is still unknown. Currently, there is no explicit model to characterize this relationship in ...
Infant Child, Preschool Longitudinal Studies Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Cerebral Cortex Humans Machine Learning Algorithms Infant, Newborn
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Machine learning based framework to predict cardiac arrests in a paediatric intensive care unit : Prediction of cardiac arrests.

Journal of clinical monitoring and computing Sep 27, 2018
A cardiac arrest is a life-threatening event, often fatal. Whilst clinicians classify some of the cardiac arrests as potentially predictable, the majority are difficult to identify even in a post-incident analysis. Changes in some patients' physiolog...
Child Intensive Care Units, Pediatric Monitoring, Physiologic Blood Pressure Oxygen Signal Processing, Computer-Assisted Heart Rate Critical Care Systole Infant, Newborn Reproducibility of Results Humans Respiratory Rate Machine Learning Software Heart Arrest Sensitivity and Specificity Critical Illness Infant Child, Preschool
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