Pediatrics

LLM predicts human behavior: A BERT-based approach for conscientiousness personality trait detection from online content.

Advancements in deep learning have significantly transformed the Natural Language Processing (NLP) d...

Performance of three large language models in answering parent-focused questions on rickets: a dual pediatric-orthopedic specialist evaluation.

Bidirectional Dynamics of Dual Systems and Problematic Internet Use in Children and Adolescents: A Person-Centered Perspective.

OBJECTIVE: Problematic Internet Use (PIU) is a critical public health issue, especially among childr...

Effectiveness of a Fully Automated Mobile Therapeutic Versus a General Chatbot in Reducing Depression and Anxiety and Improving Well-Being: Feasibility Randomized Controlled Trial.

BACKGROUND: Given the increasing prevalence of depression and anxiety disorders and enduring barrier...

Temperature-Dependent Bioaccumulation of Metals in Marine Mollusks: Integrating Thermal Performance Curves, Machine Learning, and Toxicokinetic Modeling.

Temperature regulates mollusk physiology and can alter metal bioaccumulation through filtration, upt...

An Automated Curriculum to Support Behavioral Health Counseling Among Pediatric Residents: Usability Study.

BACKGROUND: Behavioral health concerns are common in pediatric practice, with pediatricians reportin...

Delineating Pediatric Adrenocortical Tumors by GC-MS Urinary Steroid Metabolome Analysis: Observations From the MET Study.

INTRODUCTION: Adrenocortical tumors (ACTs) comprise adrenocortical adenomas (ACAs) and adrenocortica...

Graves' disease: a new era of pathophysiology-guided therapeutics.

Graves' disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than ...

The future of pediatric airway management.

PURPOSE OF REVIEW: This review examines recent advances in pediatric airway management, including em...

Machine Learning-Based Prediction of Critical Deterioration in the PICU.

BACKGROUND: Existing PICU early warning systems lack sufficient accuracy and timeliness for effectiv...

Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study.

Sepsis-induced acute kidney injury (S-AKI) is a common and serious complication in critically ill ch...

Machine learning and meningitis prediction in pediatric invasive pneumococcal disease: a retrospective single-center study.

Performance and reliability of large language models on the European Board of Hand Surgery examination: a multi-model evaluation study.

INTRODUCTION: Artificial intelligence (AI) has demonstrated transformative potential in medical educ...

A Comparative Assessment of Large Language Models in Congenital Hypothyroidism: Reliability, Quality and Readability.

OBJECTIVE: To comparatively evaluate the reliability, quality, and readability of responses generate...

Automated Deep Learning-Based Demyelination Load Segmentation in Metachromatic Leukodystrophy.

PURPOSE: Metachromatic leukodystrophy (MLD) is a rare lysosomal storage disorder characterized by pr...

[Prevention in Gastroenterology].

Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colore...

Correction: Artificial intelligence in pediatric myopia-a narrative review.

Perceptions of Health Care Professionals on the Integration and Use of AI in Clinical Cancer Care: Interview Study.

BACKGROUND: Artificial intelligence (AI) is increasingly recognized for its potential to transform c...

Ultrafast Infant Brain Quantitative MRI Using Overlapping-Echo Acquisition with Volumetric Physical Simulation of Slice-level Non-Idealities.

OBJECTIVE: Quantitative MRI (qMRI) is sensitive to brain microstructural and metabolic changes; howe...

The future of follow-up: technology-enabled medical and developmental follow-up care for NICU graduates.

Premature infants are at higher risk of long-term clinical and developmental sequelae compared to th...

Optimizing Pichia Pastoris Cell-Free Protein Synthesis to Improve Economics.

Cell-free protein synthesis (CFPS) is a powerful and versatile platform that supports a wide range o...