Pediatrics

Unlocking the Full Potential of Health Care Teams: How Artificial Intelligence Can Help.

Developing effective health care teams is critical to meet the rising complexity in patient care. Ho...

Knowledge, attitudes, and practices toward artificial intelligence in medicine among Chinese physicians: A cross-sectional study from January to March 2024 with analysis of influencing factors.

BACKGROUND: As artificial intelligence (AI) transforms medicine, understanding physicians' knowledge...

Ambient Artificial Intelligence Scribes in Pediatric Hematology-Oncology: Early Implementation of DAX Copilot.

BACKGROUND: Ambient artificial intelligence scribes are increasingly integrated into electronic heal...

Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.

Patent ductus arteriosus (PDA) is a common congenital heart defect that requires timely and accurate...

Computational Model for Predicting Optimal Clinical Intervention in Pre-Operative Neonates with Transposition of the Great Arteries.

PURPOSE: Transposition of the Great Arteries (TGA) is a congenital heart defect characterized by the...

[Artificial intelligence in pediatric ophthalmology: applications and perspectives].

Pediatric visual health is not only inextricably linked to an individual's lifelong cognitive develo...

Framing artificial intelligence in Chilean digital press before and after the launch of ChatGPT: From concern to optimism.

This article examines the evolution of AI framing in Chilean national digital media before and after...

AI-enhanced system dynamics simulation for sustainable urban development under water constraints: A case study of Langfang, China.

Water-scarce cities undergoing rapid urbanization must sustain economic growth while complying with ...

Predicting length of stay in the pediatric intensive care unit at a tertiary center in Saudi Arabia using machine learning.

BACKGROUND: Prolonged stay in pediatric intensive care units (PICUs) is associated with increased mo...

GHOSTS: Validated generation of synthetic hospital time series.

Machine learning (ML) holds great promise to support, improve, and automatize clinical decision-maki...

Development of a machine learning-based prognostic prediction model and a web-based tool for pediatric hepatoblastoma: a Surveillance, Epidemiology, and End Results (SEER) database study.

BACKGROUND: Prognostic evaluation of pediatric hepatoblastoma (HB) remains challenging due to the lo...

AI-based diagnostic evaluation of GPT-4o for crown-fracture detection on maxillary periapical radiographs: effects of prompt detail and customization.

BACKGROUND/AIM: Artificial intelligence (AI) and large language models (LLMs) are rapidly entering d...

Safety and diagnostic accuracy of large-language model application of PECARN head injury algorithm.

BACKGROUND: Clinical decision algorithms used by clinicians guide evidence-based decisions and actio...

Letter to the Editor Regarding: "OrthoKids and OrthoInfo Response to Training a Bilingual Artificial Intelligence Model on Pediatric Orthopaedic Resources to Enhance the Readability of Patient Education Materials".

Brain-age defines a structural signature of outcomes after vagus nerve stimulation in children.

INTRODUCTION: Outcomes following vagus nerve stimulation (VNS) are difficult to predict prior to sur...

Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design.

BACKGROUND: Well-being is a cornerstone of public health and social progress; yet, its determinants ...

Predicting endoscopic third ventriculostomy with choroid plexus cauterization success with machine learning: the importance of ventricle size and the irrelevance of etiology.

OBJECTIVE: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) has decrease...

Benchmarking large language models on persian surgical subspecialty board examinations: a comparative study of ChatGPT-4o, ChatGPT-5, and Gemini 2.5 Flash.

This study evaluated the performance of three large language models, including ChatGPT-4o, ChatGPT-5...

dAMN: a genome-scale neural-mechanistic hybrid model to predict bacterial growth dynamics.

SUMMARY: This study presents dAMN, a genome-scale neural-mechanistic hybrid model that combines neur...

Diagnostic accuracy of artificial intelligence versus 263 pediatric clinicians for childhood exanthems.

Pediatric exanthematous diseases pose diagnostic challenges because clinical presentations overlap. ...

Digital emergency routing: analysis of feasibility, utilization, and equity implications.

BACKGROUND: Digital emergency care applications offer potential to reduce delays, enhance triage, an...