AIMC Topic: Child, Preschool

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Systematic review and meta-analysis of the non-specific and broader impact of respiratory vaccines on acute lower respiratory infections in young children.

BMJ open
OBJECTIVES: Growing evidence suggests that vaccines targeting respiratory pathogens have non-specific and broader effects. We aimed to investigate the non-specific effects of respiratory vaccines on acute lower respiratory infection (ALRI) hospitalis...

An automated classification of brain white matter inherited disorders (Leukodystrophy) using MRI image features.

Biomedical physics & engineering express
Leukodystrophies are a group of inherited disorders that predominantly and selectively affect the white matter of the central nervous system. Their overlapping clinical and imaging manifestations make a timely and accurate diagnosis challenging. In t...

Development and validation of a machine learning model for critical progression risk in pediatric severe community-acquired pneumonia.

Scientific reports
This study aimed to utilize various machine learning algorithms to develop a predictive model for the progression of severe community-acquired pneumonia (SCAP) in children to critical severe community-acquired pneumonia (cSCAP). Retrospective analysi...

Deep neural networks and deep deterministic policy gradient for early ASD diagnosis and personalized intervention in children.

Scientific reports
Early diagnosis and personalized intervention for Autism Spectrum Disorder (ASD) in children can potentially improve developmental outcomes, though current methods often lack scalability and adaptability. This study introduces an integrated system co...

New intelligent music therapy method for applications of enhancing social skills of autism children based on TL-GCN and deep learning.

Scientific reports
To address the long-standing challenges children with autism face in social skills and emotional regulation, this study introduces Emotion-based Music Intelligent Network (EmoMusik-Net)-a deep learning model designed for intelligent music therapy. Th...

Automated Bone Age Assessment and Adult Height Prediction from Pediatric Hand Radiographs via a Cascaded Deep Learning Framework.

Journal of medical systems
Bone age assessment and adult height prediction are essential for evaluating pediatric growth. Traditional methods rely on manual radiographic interpretation, which is subjective, time-consuming, and prone to inter-observer variability. This study pr...

Efficacy and safety of ureteroscopy in children with lower pole renal stones : a machine learning predictive model from the EAU section of endourology.

World journal of urology
INTRODUCTION: The rising incidence of kidney stone disease in children presents growing clinical challenges, particularly in managing lower pole (LP) calculi, which are anatomically difficult to treat. Flexible ureteroscopy with laser lithotripsy (fU...

Effects of environment and globalization on the double and triple burdens of infection symptoms among under-five children across low-middle income countries using machine learning algorithms.

Infectious diseases of poverty
BACKGROUND: Childhood infectious diseases and related symptoms, such as fever, cough, and diarrhea among children constitute the leading cause of death in low and middle-income countries (LMICs). We examined the environmental predictors of double and...

Road traffic injuries (RTIs) in children and adolescents in India: an overview of epidemiology, reported reasons and its implications.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
INTRODUCTION: Road traffic injuries (RTIs) rank among the top causes of mortality and disability in children and adolescents, resulting in substantial socioeconomic impacts.