Pediatrics

Longitudinal fetal heart rate analysis identifies neonates with metabolic acidemia requiring therapeutic hypothermia.

BACKGROUND: Despite widespread use of intrapartum fetal monitoring, rates of fetal brain injury rema...

AI-powered insights in pediatric nephrology: current applications and future opportunities.

Artificial intelligence (AI) is rapidly emerging as a transformative force in pediatric nephrology, ...

AI-Driven Fetal Liver Echotexture Analysis: A New Frontier in Predicting Neonatal Insulin Imbalance.

OBJECTIVES: To evaluate the performance of artificial intelligence (AI)-based models in predicting e...

Impulsivity and neuroticism share distinct functional connectivity signatures with alcohol-use risk in youth.

Increases in impulsivity and negative affect (e.g., neuroticism) are common during adolescence and a...

Chatbots in sexual and reproductive health: bridging the divide in accessibility and equity.

BACKGROUND: Chatbots are increasingly utilized in the health care landscape, including in sexual and...

From algorithms to answers: a comparative analysis of popular search engines and large language models on clubfoot patient education.

This study evaluates Chat Generative Pre-Trained Transformer 4o's (ChatGPT-4o's) utility in clinical...

Novel risk calculator predicting long-term survival in pediatric versus adult patients diagnosed with spinal low-grade glioma: a nationwide analysis.

BACKGROUND CONTEXT: Spinal low-grade gliomas (SLGGs) are rare, slow-growing central nervous system t...

The Case for the Pediatric Cardiologist-Informaticist.

One of the most ubiquitous and profound impacts to the delivery of healthcare over the last three de...

Latest Developments in Artificial Intelligence and Machine Learning Models in General Pediatric Surgery.

Artificial intelligence (AI) and machine learning (ML) models rapidly transform health care with app...

Are Artificial Intelligence Models Reliable for Clinical Application in Pediatric Fracture Detection on Radiographs? A Systematic Review and Meta-analysis.

BACKGROUND: Artificial intelligence (AI) applications for pediatric fracture diagnosis using radiogr...

Chronic Ocular Sequelae of Stevens-Johnson Syndrome: Recent Advances in Understanding of Patho-Physiology and Management.

BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe mucocutan...

Evaluating Dynamic Smile Outcomes of Free Gracilis Muscle Transfer in Pediatric Facial Palsy Using Image-Based Analysis.

BACKGROUND: Facial nerve palsy in children leads to significant functional impairment and facial asy...

Artificial intelligence in pediatric ophthalmology: a comparative study of ChatGPT-4.0 and DeepSeek-R1 performance.

Objective: This study aims to evaluate and compare the accuracy and performance of two large languag...

Crafting an innovative one health-aligned machine learning framework for neglected tropical diseases elimination.

INTRODUCTION: Strategic investment in new interventions is crucial for controlling and eliminating N...

Implementing artificial intelligence in pediatric dermatology: Balancing innovation and privacy when consent is revoked.

Accelerated brain magnetic resonance imaging with deep learning reconstruction: a comparative study on image quality in pediatric neuroimaging.

BACKGROUND: Magnetic resonance imaging (MRI) is crucial in pediatric radiology; however, the prolong...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by si...

Artificial Intelligence Performance in Pediatric Asthma.

OBJECTIVE: Asthma is the most common chronic disease of childhood, characterized by symptoms such as...

A novel artificial Intelligence-Based model for automated Lenke classification in adolescent idiopathic scoliosis.

PURPOSE: To develop an artificial intelligence (AI)-driven model for automatic Lenke classification ...

Dental age estimation by comparing Demirjian's method and machine learning in Southeast Brazilian youth.

This study evaluated the applicability of combining Demirjian's method with machine learning algorit...

Short-horizon neonatal seizure prediction using EEG-based deep learning.

Strategies to predict neonatal seizure risk have typically focused on long-term static predictions w...