Pediatrics

Comparing Risk Profiles of Nicotine Pouch and Smokeless Tobacco Use in U.S. Adolescents: A Machine Learning Analysis.

Background: This study identified and compared the risk profiles associated with nicotine pouch (NP)...

Exploring the Ethical and Practical Considerations of Artificial Intelligence in Real-World Health Care Settings: Stakeholder Focus Group Study.

BACKGROUND: Artificial intelligence (AI) technologies continue to transform how we research human di...

UniTriRob: a robust machine learning regression model for predicting lettuce yields in aeroponic vertical farming.

Aeroponic vertical tower farming is a cost-effective, sustainable method for optimizing the food cro...

Comparative performance of recent and prior large language models and pediatric residents on pediatric in-training examination questions.

Physics-informed graph neural networks for robust cross-patient epileptic seizure prediction via chimera state detection.

BACKGROUND: Epilepsy affects approximately 50 million individuals worldwide, with 30% experiencing d...

Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico.

OBJECTIVE: The 2025 measles outbreak in Mexico (5741 cases) marked a severe decline in immunization ...

The prediction and impact of self-criticism on non-suicidal self-injury in adolescents: A study based on machine learning.

This study uniquely combines machine learning with structural equation modeling to investigate how s...

Ultrasonographic Evaluation of Pediatric Thyroid Nodules: Adult Risk Stratification Systems, 2021 K-TIRADS Revision, and Future Refinements.

Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyro...

Current applications and challenges of artificial intelligence applied to diagnostics in pediatric musculoskeletal imaging.

The use of artificial intelligence (AI) in pediatric musculoskeletal imaging has undergone significa...

Correction: Artificial intelligence in pediatric dental trauma: do artificial intelligence chatbots address parental concerns effectively?

Big data in multiple sclerosis.

PURPOSE OF REVIEW: This review summarizes recent key advancements in multiple sclerosis (MS) achieve...

Advancing Point-of-Care Still's Murmur Identification: Evaluating the Efficacy of ConvNets and Transformers Using the StethAid Multicenter Heart Sound Database.

BACKGROUND: Primary care providers (PCPs) are not successful in accurately identifying Still's murmu...

Computer-Assisted Performance-Based Assessment for Mental Health: A Scoping Review.

Adolescent mental health is foundational to personal development, yet it faces escalating challenges...

Models Integrating Disease Heterogeneity and MPA Exposure Predict Systemic and Renal Efficacy of Mycophenolate in Pediatric Lupus Nephritis.

OBJECTIVES: This study aimed to develop and validate integrated prediction models for pediatric lupu...

[The Translation, Innovation, and Interprofessional Application of Evidence-Based Health Care in Clinical Practice].

Only when scientific evidence moves beyond research conclusions and is translated into clinical deci...

[Sustainable Development and the Challenges of Integrating AI Into Evidence-Based Practice].

Under the framework of evidence-based practice (EBP), evidence-based knowledge is integrated systema...

A Numerical Approach to Brace Treatment Prediction by Comprehensive Biomechanical Modeling of Adolescent Idiopathic Scoliosis.

Adolescent idiopathic scoliosis (AIS) requires effective and personalized brace treatment strategies...

Game Changers in the Treatment of and Engagement With Persons Living With Mental Health and Substance Use Disorders: The Role of the Nurse.

The game changers in mental health and substance use disorder treatment have been shaped by historic...

Reimagining Nursing Theories in the Age of Artificial Intelligence: Preserving the Human Essence Amid Digital Transformation.

The exponential growth of artificial intelligence (AI) in healthcare has sparked both enthusiasm and...

AI-powered methods for psychological assessment in adolescence psychological disorders: A systematic review and meta-analysis.

Artificial intelligence (AI)-powered assessment, with its ability to process multimodal data and sup...

Neurosurgical Application of Artificial Intelligence in Pediatric Neuro-Oncology.

Pediatric neuro-oncology is a critical field of neurosurgery, representing the leading cause of dise...