Pediatrics

Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The purpose of this study was to identify an optimal definition of massive transfusion in civilian p...

What Can We Learn from the RSNA Pediatric Bone Age Machine Learning Challenge?

CbpM and CbpG of Streptococcus Pneumoniae Elicit a High Protection in Mice Challenged with a Serotype 19F Pneumococcus.

Among many pneumococcal antigens, choline-binding proteins (CPBs) display a high immunogenicity in a...

Coreflood Study of Effect of Surfactant Concentration on Foam Generation in Porous Media.

The propagation of foam in an oil reservoir depends on the creation and stability of the foam in the...

A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospita...

Comparison of del Nido and histidine-tryptophan-ketoglutarate cardioplegia solutions in pediatric patients undergoing open heart surgery: A prospective randomized clinical trial.

OBJECTIVES: We conducted a prospective randomized controlled trial to compare del Nido (DN) and hist...

The RSNA Pediatric Bone Age Machine Learning Challenge.

Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challen...

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

This paper explores cutting-edge deep learning methods for information extraction from medical imagi...

Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets.

Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a si...

Robotically assisted long bone biopsy under MRI: cadaver study results.

RATIONALE AND OBJECTIVES: We have designed and constructed an MR-safe robot made entirely of nonmeta...

Culture of Mesenchymal Stem Cells in a Hydrogel Model of Vocal Fold Lamina Propria.

Stem cell injection has been proposed as an alternative approach for the restoration of vocal fold (...

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

BACKGROUND: Detection of ossification areas of hand bones in X-ray images is an important task, e.g....

Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy.

BACKGROUND: Cerebral palsy (CP) is the most common physical disability among children (2.5 to 3.6 ca...

Frameless robot-assisted stereoelectroencephalography for refractory epilepsy in pediatric patients: accuracy, usefulness, and technical issues.

BACKGROUND: Stereoelectroencephalography (SEEG) is an effective technique to help to locate and to d...

Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors.

Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading ca...

Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces.

The unprecedented increase in data volume has become a severe challenge for conventional patterns of...

Using an artificial neural network to predict traumatic brain injury.

In BriefPediatric traumatic brain injury (TBI) is common, but not all injuries require hospitalizati...

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.

INTRODUCTION: Anatomic characteristics of kidneys derived from ultrasound images are potential bioma...

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation.

Recently, dense connections have attracted substantial attention in computer vision because they fac...

Gene Essentiality Analyzed by Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of .

Knowing the full set of essential genes for a given organism provides important information about wa...

Orthotopic Liver Transplantation After Stereotactic Body Radiotherapy for Pediatric Hepatocellular Carcinoma with Central Biliary Obstruction and Nodal Involvement.

Here we describe the case of a 10-year-old boy with a history of chronic hepatitis B who was diagnos...