Pediatrics

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

INTRODUCTION: Adolescent idiopathic scoliosis (AIS) screening remains controversial, particularly re...

Artificial Intelligence in Neonatal Hip Ultrasound: A Scoping Review of Methods and Clinical Evidence.

BACKGROUND: Developmental dysplasia of the hip (DDH) is among the most common musculoskeletal disord...

Predicting psychopathology symptom trajectories using machine learning: a 33-year prospective study.

BACKGROUND: While previous literature has established a link between psychopathology symptom traject...

The gut microbiome in preterm infants: development, dysbiosis, and disease implications.

SUMMARYPreterm infants face a unique trajectory of gut microbiome assembly, shaped by the convergenc...

From Ambient Assistance to Data-Driven Precision in AI-Enabled Alzheimer's Care (2004-2025): A Bibliometric Perspective.

BACKGROUND AND OBJECTIVES: Population aging and the rising prevalence of Alzheimer's Disease and Rel...

Heterogeneous developmental trajectories and predictors of self-harm in early adolescence: A machine learning study.

BACKGROUND: Although prior studies have examined developmental trajectories of adolescent self-harm ...

Multi-omics body-fluid biomarkers in immunoglobulin a nephropathy: Analytical Validation, standardization, and clinical chemistry translation of diagnostic and prognostic Analytes.

IgA nephropathy (IgAN) is the most prevalent primary glomerulonephritis worldwide. Although optimize...

Physical therapy using digital therapeutics in infants with congenital muscular torticollis: a pilot study.

Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral...

Application of machine learning for the prediction of Bacillus cereus growth: A study on the integration of mathematical models.

In this study, machine learning was used to predict Bacillus cereus growth trends across various foo...

Chronic Total Occlusion Recanalization in a 14-Year-Old Girl With Pseudoxanthoma Elasticum: IVUS-Guided Stentless Strategy.

BACKGROUND: Pseudoxanthoma elasticum (PXE) is a hereditary disorder causing progressive arterial min...

Children and adolescents' views on artificial intelligence in pediatric healthcare: a qualitative focus group study.

BACKGROUND: The increased use of artificial intelligence (AI) in healthcare, including pediatrics, o...

Data After Death: Post-Mortem Ethics of Burn Patient Records and Images.

Burn care frequently relies on extensive documentation, including graphic photographic images and de...

A Review of the Australian MRI Linac Program: From Pie in the Sky to Research Milestone.

The Australian Magnetic Resonance Imaging (MRI) Linear Accelerator program (MRI linac) was a major r...

Improving Trauma Triage Accuracy with Large Language Models: A Comparison to Human Expert Decisions.

BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and...

A 10-year analysis of the united network for organ sharing registry: Insights from machine learning to prevent pediatric waitlist deaths.

Comparative sensitivity and specificity of change in third ventricular diameter or global ventricular change for detecting pediatric ventriculoperitoneal shunt malfunction: a 10-year retrospective cohort study.

OBJECTIVE: Clinical features of shunt malfunction are often nonspecific and neuroimaging is a well-e...

Application Value of Radiomics-Based Machine Learning for Preoperative Risk Stratification of Bladder Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to de...

The Search for Borderline Hearts within Biventricular Repairs of Complete Atrioventricular Septal Defects.

OBJECTIVES: To discover distinct clusters of morphologic features within the spectrum of complete at...

ADHD medications and preadolescent brain structure: patterns of cortical attenuation from the ABCD study.

Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in th...

Comment on "A MATLAB Algorithm to Automatically Estimate the QT Interval and Other ECG Parameters and Validation Using a Machine Learning Approach in Congenital Long-QT Syndrome".

Multiagent First-Person Perspective Analysis for Leadership Assessment in Pediatric Emergency Simulations: A Feasibility Study.

BACKGROUND: Conventional leadership assessments provide structured ratings but offer limited observe...