Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.

The early postnatal period witnesses rapid and dynamic brain development. However, the relationship ...

Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network.

OBJECTIVE: The purpose of this study is to determine whether a deep convolutional neural network (DC...

Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression.

BACKGROUND: The progression of the spinal curve represents one of the major concerns in the assessme...

Social and nutritional factors shape larval aggregation, foraging, and body mass in a polyphagous fly.

The majority of insect species have a clearly defined larval stage during development. Larval nutrit...

3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of sub...

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits.

The importance of social components of health has been emphasized both in epidemiology and public he...

Gene ontology enrichment analysis of congenital diaphragmatic hernia-associated genes.

Congenital diaphragmatic hernia (CDH) is a commonly occurring major congenital anomaly with a profou...

Second branchial cleft anomalies in children: a literature review.

Branchial cleft anomalies are the second most common head and neck congenital lesions in children. I...

Estimation of the Basic Reproduction Number and Vaccination Coverage of Influenza in the United States (2017-18).

BACKGROUND: Determining the epidemic threshold parameter helps health providers calculate the covera...

Organization of the cancer network in SUS: evolution of the care model.

In the current context of epidemiological transition, demographic changes, changes in consumption an...

Modeling growth limits of Bacillus spp. spores by using deep-learning algorithm.

Growth/no growth boundary models for Bacillus spores that accounted for the effects of environmental...

Increasing workflow development speed and reproducibility with Vectools.

Despite advances in bioinformatics, custom scripts remain a source of difficulty, slowing workflow d...

An accessible and efficient autism screening method for behavioural data and predictive analyses.

Autism spectrum disorder is associated with significant healthcare costs, and early diagnosis can su...

A Novel Method of Segmentation and Classification for Meditation in Health Care Systems.

Meditation improves positivity in behavioral as well as psychological changes, which are brought elu...

Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.

PURPOSE: Real-time assessment of ventricular volumes requires high acceleration factors. Residual co...

Fibroblast growth factor23 is associated with axonal integrity and neural network architecture in the human frontal lobes.

Elevated levels of FGF23 in individuals with chronic kidney disease (CKD) are associated with advers...

Updated NACI recommendations for measles post-exposure prophylaxis.

BACKGROUND: Human immune globulin (Ig) products are currently recommended as post-exposure prophylax...

Annual Research Review: Developmental computational psychiatry.

Most psychiatric disorders emerge during childhood and adolescence. This is also a period that coinc...

Predictive connectome subnetwork extraction with anatomical and connectivity priors.

We present a new method to identify anatomical subnetworks of the human connectome that are optimall...

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