Pediatrics

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...

Efficacy of swine Influenza A virus vaccines on transmission, viral shedding and clinical signs: Systematic review and meta-analysis.

Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination ...

A minimalist and robust diagnostic model for neonatal biliary atresia: Harnessing MMP-7 and machine learning in a time-critical setting.

BACKGROUND: Early diagnosis is the most critical determinant of native liver survival in infants wit...

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...

A 3D morphogenetic blueprint for metastatic outgrowth in breast cancer.

The tissue-level processes underpinning metastatic outgrowth remain unclear. We combined single-cell...

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...

Artificial intelligence-assisted detection of epileptic spasms using electroencephalographic-video analysis.

OBJECTIVE: This study was undertaken to develop and validate an artificial intelligence (AI) diagnos...