Pediatrics

Research progress on biomarkers for acute kidney injury in children.

Pediatric acute kidney injury (AKI) often presents insidiously and progresses rapidly. Traditional d...

Response to Letter to the Editor re: "The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative".

Letter to the Editor re: "The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative".

Applying Machine Learning to Fetal Echocardiograms: A Novel Method for Predicting Critical Coarctation of the Aorta.

BACKGROUND: Current fetal echocardiographic metrics are inadequate for confident prediction of neona...

Diuretic Ultrasound Evaluation of Surgical Necessity in Pediatric Ureteropelvic Junction Obstruction.

RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning (ML) model u...

Recent Advances in Hypothalamic Segmentation for Neuroimaging: A Comprehensive Review.

The hypothalamus is a key structure in the human brain, comprising numerous functionally distinct su...

Machine learning approaches in predicting circadian rhythm sleep-wake disorders: A review.

Circadian rhythm sleep-wake disorders (CRSWDs) arise from misalignment between an individual's sleep...

Automatic Detection of Ganglion Cells as a Supporting Tool for Hirschsprung Disease Diagnosis.

Hirschsprung disease (HD) is a congenital disorder characterized by the absence of ganglion cells in...

Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse.

BACKGROUND: Artificial intelligence (AI) is increasingly proposed for use in health and health care ...

Empathy in AI for Health and Care Settings-Definition, Expression, and Measurement: Protocol for a Scoping Review.

BACKGROUND: "Empathy" is widely discussed in health and care settings and is increasingly claimed as...

Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach.

The public health impact of vaping in the United States reflects a complex balance of potential bene...

Towards Social Good: How Can Social Media Inform the Next GenAI's Collaboration With Humans for Dietary Support?

The rapid advancement of Generative AI (GenAI) has transformed human-computer interaction, particula...

Surgical and hormonal gender-affirming care: cross-domain determinants and artificial intelligence-enabled expansion.

Gender-affirming surgery (GAS) and gender-affirming hormone therapy (GAHT) and are evidence-based co...

Multi-omics-based machine learning model predicts response and guides treatment in Crohn disease: a case study in nutritional therapy.

BACKGROUND: Biomarkers are needed to predict treatment response and guide therapeutic decisions in C...

Risks and Harms of Conversational Artificial Intelligence (CAI) Chatbot Use Among US Youth.

INTRODUCTION: Conversational AI (CAI) chatbots are widely used by adolescents for instruction, enter...

Getting ahead of sudden cardiac arrest in pediatric hypertrophic cardiomyopathy patients.

INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pedia...

The Use of Machine Learning to Predict Offline Adolescent e-Cigarette Use: a Proof-of-Concept.

Identification of adolescent e-cigarette use could inform prevention and intervention programming an...

Risk and Protective Factors Associated With HIV-Related Mortality in Children Receiving Antiretroviral Therapy: A Model-Based Meta-Regression.

IMPORTANCE: Mortality among children and young adolescents receiving antiretroviral therapy (ART) re...

Understanding how language barriers in the paediatric emergency care setting influences safety of care delivery: a scoping review.

BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within t...

Performance of an Artificial Intelligence-Based Automated System for Identifying Primary and Permanent Teeth in Mixed Dentition Panoramic Radiographs.

This study aimed to assess the diagnostic performance of the Brazilian-developed artificial intellig...

Increased Antidepressant Use after Intensive Care for Aneurysmal Subarachnoid Haemorrhage: A Machine-Learning-Enhanced Propensity-Matched Nationwide Cohort Study.

BACKGROUND: Mood disorders after aneurysmal subarachnoid haemorrhage (aSAH) are common. Meanwhile, m...