Pediatrics

One-stop strabismus digital diagnosis via AI-integrated skin-like and wearable "Eyelectronics".

Strabismus, affecting ~4% of children, impairs vision and psychosocial health. However, clinical dia...

Functional neurobehaviour of the human fetus: a comprehensive framework for prenatal assessment using 4D ultrasound and AI.

OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensio...

Urine Proteomics Identifies Biomarkers for Diagnosis and Fibrosis Severity in Pediatric Chronic Pancreatitis.

INTRODUCTION: Reliable biomarkers for the diagnosis of chronic pancreatitis (CP) and pancreatic fibr...

Ethical Knowledge, Challenges, and Institutional Strategies Among Medical AI Developers and Researchers: Focus Group Study.

BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-makin...

Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population.

INTRODUCTION AND AIMS: Accurate estimation of age and sex is crucial in forensic and clinical contex...

Axial length prediction Model based on screening fundus photography data in school-age children.

This study developed deep learning (DL) models to predict axial length (AL) in 6-10-year-old schoolc...

Lymphocyte-based inflammatory biomarkers during the postpartum period and postpartum depression symptoms in U.S. women.

BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infa...

The predictive edge: modeling and simulation in drug product development.

It is well-known that drug development is challenging and a time- and resource-intensive endeavor. H...

The OnSPARK LTC Data Platform: Leveraging interRAI to Build a Learning Health System for Long-Term Care.

Long-Term Care (LTC) in Canada faces persistent challenges in quality, staffing, and accountability....

MGM as a Large-Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts.

Microbial communities are integral to human health, biotechnology, and environmental systems, yet th...

Trends and Scientific Evolution in Endovascular Aneurysm Repair (EVAR) Research: A Comprehensive Bibliometric Study Using VOSviewer.

BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic...

Can large language models provide quality, reliable and readable information about sudden infant death syndrome?

The current state of artificial intelligence research in pediatric radiology and recommendations for the future: a scoping review.

BACKGROUND: Most artificial intelligence (AI) research in radiology has focused on adults. Understan...

[Wolff-Parkinson-White syndrome : Comparison of different algorithms].

BACKGROUND: Wolff-Parkinson-White (WPW) syndrome is characterised by accessory pathways that bypass ...

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.

OBJECTIVES: To quantify fetal brain maturation in fetuses with early-onset fetal growth restriction ...

Triaging Casual From Critical-Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study.

BACKGROUND: This study aims to detect self-harm or suicide (SH-S) ideation language used by youth (a...

Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age.

Perinatal period is a critical time for brain development and premature-born children have an elevat...

Deep learning in fetal, infant, and toddler neuroimaging research.

Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environme...

Efferocytosis-associated transcriptomic patterns characterize prognosis and immune landscape in osteosarcoma.

BACKGROUND: Osteosarcoma (OS) is the most common primary malignant bone tumor in adolescents, charac...

A review of current applications of photon-counting CT in musculoskeletal imaging.

Photon-counting computed tomography (PCCT) is a significant technological advancement in musculoskel...

Artificial intelligence-enabled pediatric radiology in low-resource settings: addressing resource constraints in the African healthcare system.

Artificial intelligence (AI) holds immense promise in guiding clinical decision making in pediatric ...