Pediatrics

Global Co-Occurrence Patterns of Ischemic Heart Disease and Metabolic Dysfunction-Associated Steatotic Liver Disease: Spatial Clusters, Risk Factors, and Quality-of-Care Index.

BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease repr...

Assessment of Large Language Models for Tracheostomy Care in Pediatrics: ChatGPT vs Claude.

INTRODUCTION: This study aimed to evaluate the accuracy, completeness, clarity, and relevance of res...

Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review.

BACKGROUND: Social determinants of health (SDOH) are the social, economic, and environmental conditi...

Predicting Pediatric Urological Surgery Duration Through Multimodal Patient-Physician Feature Fusion: Deep Learning Framework Incorporating Clinical Text Embedding.

BACKGROUND: Accurate prediction of surgical duration is critical for optimizing operating room sched...

Quantifying Components in a Model Vaccine with Machine-Learning-Augmented Raman Spectroscopy.

Vaccination is a highly efficient strategy in controlling infections. Aluminum-containing adjuvants ...

A deep learning method for children's self-care problems classification using represent learning and focal loss.

BackgroundAn accurate diagnosis of children's self-care problems significantly matters in the growth...

Development and validation of the Lebanese Social Media Dependency Scale (LSMDS): A cross-sectional study among university students.

BACKGROUND: Social media use has become pervasive among university students worldwide, with growing ...

Response to Letter to the Editor re: "Predicting non-response to urotherapy in pediatric bowel and bladder dysfunction: A machine learning approach".

Letter to the Editor re: "Predicting non-response to urotherapy in pediatric bowel and bladder dysfunction: A machine learning approach".

Neonatal brain MRI Atlas: Current and future.

Neonatal brain atlases provide essential spatial references for studying early brain development and...

The impact of childhood trauma on brain structural connectivity in adolescent major depressive disorder: A graph-based analysis.

BACKGROUND: Childhood trauma (CT) significantly increases vulnerability to adolescent major depressi...

Automated Detection of Pediatric Pneumonia via Clinically Driven AI Analysis of Lung Ultrasound.

Lung ultrasound (LUS) is increasingly utilized for diagnosing pediatric pneumonia due to its bedside...

Prospective genomic and epidemiologic surveillance of Klebsiella pneumoniae in a tertiary NICU.

BACKGROUND: Klebsiella pneumoniae complex (Kp) is a relevant neonatal pathogen colonizing preterm in...

Predicting abdominal obesity in children and adolescents via machine learning: a longitudinal cohort study.

OBJECTIVES: This study aimed to construct and verify machine learning (ML) models to predict long-te...

Machine Learning Prediction of Hospital Stay in Pediatric Typhoid Intestinal Perforation: Pilot Study.

INTRODUCTION: Typhoid intestinal perforation (TIP) remains a significant cause of pediatric morbidit...

Optimizing AI Voice for Adolescent Health: Preferences and Trustworthiness Across Teens and Parent.

INTRODUCTION: Communicating about adolescent health topics with adolescents and their parents is cru...

Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.

BACKGROUND: Emerging evidence implicates eosinophils as important modulators of disease activity and...

AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability.

BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approa...

Development of a community home-based dual-supplier cooperation care model for people with dementia based on an intelligent decision-assistance system: protocol of a 1-year randomised controlled trial in China.

INTRODUCTION: Dementia imposes significant care and financial burdens on families and countries glob...

From Static Diagnosis to Dynamic Guidance : Evolution of Artificial Intelligence in Pediatric Neuroimaging.

The pediatric brain represents a dynamic biological target characterized by rapid myelination and fu...

Preface : Digital and Robotic Transformation of Pediatric Neurosurgery.

This Pediatric Issue of the Journal of Korean Neurosurgical Society addresses the digital and roboti...