Pediatrics

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

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Development and validation of an LC-MS/MS method for quantification of NC-8 in rat plasma and its application to pharmacokinetic studies.

ent-16-Oxobeyeran-19-N-methylureido (NC-8) is a recently synthesized derivative of isosteviol that s...

OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.

PURPOSE: Intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF) medication...

Production Standard and Stability of Compounded Del Nido Cardioplegia Solution.

The del Nido cardioplegia solution (dNCS) was originally developed for pediatric cardiac surgery, b...

Detection of Cronobacter species in powdered infant formula using immunoliposome-based immunomagnetic concentration and separation assay.

Cronobacter species are foodborne pathogens that can affect the human central nervous system. Surviv...

Changes in maternal placental growth factor levels during term labour.

UNLABELLED: Placental growth factor (PlGF) has important angiogenic function that is critical to pla...

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.

Purpose To compare the performance of a deep-learning bone age assessment model based on hand radiog...

The diagnostic value of hepcidin to predict the presence and severity of appendicitis in children.

BACKGROUND: The aim of this study was to determine the diagnostic capacity of hepcidin in pediatric ...

SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media.

With the development of Web 2.0 technology, social media websites have become lucrative but under-ex...

Web-Enabled Distributed Health-Care Framework for Automated Malaria Parasite Classification: an E-Health Approach.

Web-enabled e-healthcare system or computer assisted disease diagnosis has a potential to improve th...

Whole brain white matter connectivity analysis using machine learning: An application to autism.

In this paper, we propose an automated white matter connectivity analysis method for machine learnin...

Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model.

This letter proposes a novel predictive coding type neural network model, the predictive multiple sp...

Learning-based deformable registration for infant MRI by integrating random forest with auto-context model.

PURPOSE: Accurately analyzing the rapid structural evolution of human brain in the first year of lif...

A descriptive statistical analysis of volume, visibility and attitudes regarding nursing and care robots in social media.

BACKGROUND: Technology in the healthcare sector is undergoing rapid development. One of the most pro...

The Results of Hemivertebra Resection by the Posterior Approach in Children with a Mean Follow-Up of Five Years.

AIM: To evaluate the radiologic and clinical results of patients who underwent deformity correction ...

Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect.

Many drugs commonly prescribed during pregnancy lack a fetal safety recommendation - called FDA 'cat...

Identification of potentially oncogenic alterations from tumor-only samples reveals Fanconi anemia pathway mutations in bladder carcinomas.

Cancer is caused by germline and somatic mutations, which can share biological features such as amin...

Homecare Robots to Improve Health and Well-Being in Mild Cognitive Impairment and Early Stage Dementia: Results From a Scoping Study.

OBJECTIVES: This scoping study is the first step of a multiphase, international project aimed at des...

Modified QuEChERS method for 24 plant growth regulators in grapes using LC-MS/MS.

A multiresidue analytical method was developed for grapes for the following 24 plant growth regulato...

Effects of Inorganic Iodine Therapy Administered to Lactating Mothers With Graves Disease on Infant Thyroid Function.

CONTEXT: The effects of maternal inorganic iodine therapy on infant thyroid function are not well kn...

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