Pediatrics

Clinical Subphenotypes and Short-Term Outcomes in PICU Patients Receiving Continuous Blood Purification.

OBJECTIVES: To characterize clinical heterogeneity among PICU patients receiving continuous blood pu...

Artificial Intelligence and Machine Learning-based prediction of tuberculosis treatment failure: A systematic review and meta-analysis.

BACKGROUND: Tuberculosis (TB) remains a leading cause of infectious disease mortality worldwide, and...

Artificial Intelligence and Nursing: Freedom From the Mundane or Subservience to a New Nobility.

AIM: To explore the notion of post-humanism and the impact of artificial intelligence (AI) on societ...

Understanding the Experiences of Young People Living With Haemophilia-A UK Social Media Study.

INTRODUCTION: Haemophilia is a rare congenital bleeding disorder that presents significant physical ...

Emerging and Re-Emerging Viral Infections in Poultry: Integrating Traditional and AI-Based Control Strategies.

Poultry production remains significantly challenged by emerging and re-emerging avian viral diseases...

Beyond Kimi K3: Spillover Effects of Frontier AI Competition on Health Care.

The July release of Kimi K3, an open-weight frontier AI model, is the latest milestone in the heated...

Large Language Model Simplification of Open Access Pediatric Strabismus Literature: Cross-Sectional Validation of Readability and Clinical Fidelity.

BACKGROUND: Peer-reviewed medical literature consistently violates established health literacy reada...

Data diversity vs. model complexity in the prediction of pediatric bipolar disorder: Evidence from academic and community clinical samples.

Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More ...

Global and Regional Burden of Refraction Disorders In Children, Adolescents and Young Adults from 1990 to 2021: Trends, Inequalities and Future Predictions with Machine Learning.

PURPOSE: This study aims to forecast future trends and quantify the contributions of key determinant...

Comprehensive evaluation of health status of Tibetan primary and middle school students based on an artificial neural network model: A cross-sectional study.

The high-altitude and unique climatic conditions of Tibet can have a significant impact on the growt...

Machine learning models for predicting neonatal bacterial infections: a retrospective cohort study.

Bacterial infections represent a critical threat to neonatal health, accounting for approximately 25...

Exploratory multivariate adaptive regression splines modeling of myopic progression in children receiving atropine.

BACKGROUND: The increasing global prevalence of pediatric myopia has led to the widespread use of at...

Exploring Perceptions of Leveraging AI to Improve Outcomes in Maternal, Sexual, and Reproductive Health in Sub-Saharan Africa: Exploratory Qualitative Study.

BACKGROUND: AI has the potential to transform health care in low- and middle-income countries, where...

Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review.

BACKGROUND: Widespread and sustained uptake of AI-based clinical decision support systems (CDSSs) in...

Fostering reflection: Development and initial evaluation of a mentalization-based GenAI simulator for foster care supervisors.

BACKGROUND: Foster care supervisors require advanced reflective functioning (RF) to manage complex r...

Stakeholder Perspectives on AI-Assisted Pain Assessment in Pediatrics: A Qualitative Study of Shared Needs and Divergent Priorities.

Pain management remains a significant challenge in pediatric care, where pain is frequently under-as...

Identification of weight loss predictors using machine learning approaches in adolescents with obesity.

BACKGROUND: Despite the effectiveness of lifestyle multidisciplinary (LMD) weight loss interventions...

The electrocardiogram and artificial intelligence: turning signals into insights in pediatric and congenital heart disease.

PURPOSE OF REVIEW: Artificial intelligence applied to electrocardiography (AI-ECG) has rapidly been ...

Artificial Intelligence (AI) and Pediatric Nursing: Benefits, Concerns, Next Steps.

Somalia's lifeline: Digitalization and AI.

Somalia's fragile health system, strained by decades of conflict, climate shocks, and persistently l...

Harmonizing Multi-Institutional Clinical Documentation Using Natural Language Processing in Neurofibromatosis Type 1.

BACKGROUND AND OBJECTIVES: Machine learning (ML) and natural language processing (NLP) approaches ar...