Pediatrics

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...

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...

Few-shot learning for surgical phase recognition: Performance and generalization in cholecystectomy.

BACKGROUND AND OBJECTIVE: The automated recognition of surgical phases in intraoperative videos repr...

The Effect of Age, Sex, and Body Mass Index on Spinopelvic Balance Throughout Childhood and Adolescence: An Automated 3D-Computed Tomography Study of 9,721 Pediatric Patients.

BACKGROUND: Spinopelvic assessment is critical for surgical planning. It is unknown if age, sex, and...

Decoding viral evolution through integrative bioinformatics: From genomes to global health.

Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein...

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...

AraBLA: cross-layer enhanced AraBERT with BiLSTM and attention for Arabic fake news detection.

The rapid growth of misinformation in Arabic digital media has created an urgent need for more accur...

Robust prediction of Listeria monocytogenes, Listeria innocua and aerobic spoilage bacteria growth in food systems using Multilayer Perceptron Artificial Neural Networks.

Spoilage microorganisms and pathogenic bacteria can negatively impact food safety and stability, lea...

Enhancing Fetal Cardiac Care: Addressing Unwarranted Variation in Prenatal Congenital Heart Disease Detection and Counseling.

Ensemble learning for predicting birth trauma using high-dimensional data in the neonatal intensive care unit.

Birth trauma remains a significant global health challenge and contributes substantially to neonatal...