Pediatrics

Comparing physician and artificial intelligence chatbot responses to preterm infant care questions posted to a public medical consultation forum: evaluation study.

OBJECTIVES: This study aims to compare the preterm infant care advice generated by ChatGPT with resp...

Deep learning for pediatric synovial recess distension detection in hemophilia: synthetic image augmentation with styleGAN2-ADA.

PURPOSE: Pediatric musculoskeletal ultrasound (MSKUS) datasets are scarce, especially for rare, sex-...

Bioinformatics analysis and qRT-PCR validation of iron metabolism-related genes in pediatric asthma.

Pediatric asthma (PA) is a chronic airway disease with a complex etiology, and iron metabolism disor...

An algorithm to identify less invasive surfactant administration using a real-world database of preterm infants.

BACKGROUND: Surfactant replacement therapy is central to respiratory distress syndrome (RDS) managem...

Clinical accuracy and applications of the Pediatric Assessment Triangle in emergency care: a narrative review.

BACKGROUND: The Pediatric Assessment Triangle (PAT) is a rapid visual assessment framework designed ...

Comparing Images of Depression in Mass Media and AI-Generated Pictures: Mixed Methods Study.

BACKGROUND: Images play an important role in reducing stigma related to mental health, which often i...

Nurses' Evaluation of a Service Robot for Inpatient Care: Technology Acceptance Study.

BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a ...

Image Quality Advancements in Low-Dose Pediatric CT Using Super-Resolution Deep-Learning Reconstruction.

The objective of the study is to assess the impact of super-resolution deep-learning reconstruction ...

AI-based autism identification from hyperspectral imaging detection of oxidative stress in pediatric red blood cells.

BACKGROUND: Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-...

BDFlower: Growth stage flower image dataset for precision agriculture and floriculture.

This study presents a comprehensive BDFlower growth stage dataset designed to support research in pr...

OGTFinder: A Curated Growth Temperature Data Set and Its Application To Predict Optimal Growth Temperatures of Bacteria and Archaea.

The optimal growth temperature (OGT) of organisms is valuable in bioprospecting enzymes that work un...

Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability.

BACKGROUND: Amid growing demands and constrained health care resources, effective hospital bed capac...

Designing Psychologically Grounded Artificial Intelligence for Supporting Bystander-Based Cyberaggression Intervention: Mixed Methods Exploratory Study.

BACKGROUND: Cyberaggression poses a growing threat to mental health, contributing to increased distr...

Exploring Metabolic Changes in Children with Congenital Hypothyroidism: A Serum Metabolomic Study Combined by Machine Learning.

Congenital hypothyroidism (CH) is a genetic endocrine disorder that can cause developmental delays i...

NEW TECHNOLOGY IN SKIN AND FACIAL ANALYSIS: Elevating the Clinical Encounter for Patients and Providers.

Aims and Background Aesthetic medicine has undergone remarkable growth, yet the clinical infrastruct...

Enhanced precision in cell culture analytics: leveraging artificial intelligence for unbiased and non-destructive assessment of cell growth and viability.

Precise assessment of cell growth, count, and viability is a prerequisite for biological and medical...

Prediction of premature rupture of fetal membranes using deep learning in East China.

If premature rupture of fetal membranes (PROM) can be forecasted, doctors can formulate individualiz...

[Predicting the need for long-term care: development and comparative evaluation of advanced machine learning models].

BACKGROUND AND AIM OF THE ARTICLE: In recent years, the Bavarian Medical Service (Medizinischer Dien...

Rethinking the Design of Adolescent Crisis Stabilization Units: A Mixed-Methods Study Using Physical Mock-Up Simulations and Artificial Intelligence.

Limited research has examined safety features in nonhospital settings for adolescents experiencing b...

[Annual advances in clinical applications of pulmonary function testing 2025].

This review systematically synthesizes and critically appraises domestic and international advances ...

Turning Expert Consensus Into Evidence: European Standards of Clinical Practice for Very Rare Pediatric Tumors in the Era of Big Data, Artificial Intelligence, and Patient Partnership.