Pediatrics

Artificial Intelligence-Assisted Pediatric Trauma Triage: Promising Innovation or Premature Implementation?

AVPENet: Pain estimation from audio-visual fusion of non-speech sounds.

Pain assessment in non-verbal patients, including neonates and unconscious adults, remains a critica...

At the Edge of Chaos: Complexity Science and Critical Care in the Era of Artificial Intelligence.

Critical care unfolds at the crossroads of highly complex, nonlinear systems. The intersection of pa...

K2CO3-Fe2O3 catalyzes sludge ceramsite formation: ML-elucidated nucleation-growth kinetics.

Urban sewage sludge generation continues to rise annually, making its resource recovery into lightwe...

Artificial intelligence in pediatric nursing and its education: A systematic review.

BACKGROUND: Artificial intelligence (AI) transforms healthcare delivery by improving patient outcome...

Internal and external validation of a machine learning algorithm to detect preeclampsia-related adverse outcomes in high-risk pregnancies.

OBJECTIVES: This study aimed to refine an existing machine learning (ML) algorithm for predicting pr...

3D ADHD-Net and DeepTrace: Decoding ADHD from EEG with neurophysiological insights.

EEG-based ADHD diagnosis models suffer from two persistent issues: data leakage and the lack of phys...

Automating Adolescent Idiopathic Scoliosis Classification: An Interpretable, Workflow-Based Approach to Lenke Classification: Commentary on an article by Lingcong Xu, MD, et al.: "A Fully Automated Multistage Deep Learning System for Lenke Classification. Enhanced Diagnostic Precision in Adolescent Idiopathic Scoliosis".

Using AI scribes in New Zealand primary care consultations: an exploratory survey.

INTRODUCTION: AI scribes have had a rapid uptake in primary care across New Zealand (NZ). The benefi...

Enhancing autonomous agriculture control systems in greenhouses for sustainable resource usage using deep learning techniques.

Greenhouse climate control is essential for optimizing crop growth while minimizing resource consump...

Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fu...

Implementation and Evaluation of Virtual Care in Canadian Health Care Systems: A Scoping Review.

OBJECTIVE: This scoping review examined available evidence in implementation and evaluation of virtu...

Personalized prediction of initial valproic acid dose in children with epilepsy using machine learning techniques.

INTRODUCTION: Valproic acid (VPA) is widely prescribed antiepileptic drug in children because of its...

Artificial intelligence in pediatric myopia - a narrative review.

Toward a multi-level, needs-based approach to cancer navigation: Considerations for service design.

Evidence suggests that patient navigation can help address ongoing barriers to accessing timely, app...

Machine learning-based prediction of out-of-hospital births in prehospital emergency care.

BACKGROUND: Unplanned out-of-hospital births constitute rare but high-risk obstetric emergencies man...

Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review.

BACKGROUND: Fuzzy logic has been progressively investigated as a viable alternative to traditional s...

Social support detection from social media texts.

Social support, conveyed through a multitude of interactions and platforms such as social media, pla...

International Delphi consensus on acute kidney injury: Foundations for AI-driven digital twin development in critical care nephrology.

BACKGROUND: Acute kidney injury (AKI) in critically ill patients is clinically complex and heterogen...

Optimized Complex-Valued Spatio-Temporal Graph Convolutional Networks for attention deficit hyperactivity disorder detection in pediatric EEG signals.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition affecting mood, an...

Can artificial intelligence bridge the gaps for primary diabetes care in low-income and middle-income countries?

Artificial intelligence (AI) has the potential to improve primary diabetes care in low-income and mi...