Pediatrics

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

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Acute effect of endurance exercise on human milk insulin concentrations: a randomised cross-over study.

INTRODUCTION: Insulin is present in human milk and its concentration correlates with maternal circul...

Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.

OBJECTIVES: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and ...

Predicting bullying victimization among adolescents using the risk and protective factor framework: a large-scale machine learning approach.

BACKGROUND: Bullying, encompassing physical, psychological, social, or educational harm, affects app...

Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007-2016.

Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hyperte...

Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms.

BACKGROUND: Stunting is a vital indicator of chronic undernutrition that reveals a failure to reach ...

Novel machine learning applications in peripartum care: a scoping review.

OBJECTIVE: Machine learning (ML), a subtype of artificial intelligence (AI), presents predictive mod...

Subway opening enables urban green development: Evidence from difference-in-differences and double dual machine learning methods.

Urban rail transport is an important part of transport infrastructure, which is significant in empow...

Artificial Intelligence In Health And Health Care: Priorities For Action.

The field of artificial intelligence (AI) has entered a new cycle of intense opportunity, fueled by ...

Identification of depressive symptoms in adolescents using machine learning combining childhood and adolescence features.

BACKGROUND: Depressive symptoms in adolescents can significantly affect their daily lives and pose r...

AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.

There is a critical need for community engagement in the process of adopting artificial intelligence...

Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care.

Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in s...

Pediatric Predictive Artificial Intelligence Implemented in Clinical Practice from 2010 to 2021: A Systematic Review.

To review pediatric artificial intelligence (AI) implementation studies from 2010 to 2021 and analyz...

From social media to artificial intelligence: improving research on digital harms in youth.

In this Personal View, we critically evaluate the limitations and underlying challenges of existing ...

Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling.

We present a built-in physics neural network architecture, known as inelastic Constitutive Artificia...

Deep Learning for Pediatric Sleep Staging From Photoplethysmography: A Transfer Learning Approach From Adults to Children.

BACKGROUND: Sleep staging is critical for diagnosing sleep disorders. Traditional methods in clinica...

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