Pediatrics

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability.

Invasive species management demands predictive models that balance accuracy with ecological interpre...

Machine learning prediction of positive urine cultures in an academic pediatric emergency department (ED).

BACKGROUND: Urinary tract infections (UTIs) are among the most common pediatric infections, but urin...

A Pilot Study to Evaluate Artificial Intelligence-Driven Early Retrieval of Medical Histories in the Emergency Department.

STUDY OBJECTIVE: To assess the feasibility and acceptability of using ChatGPT to obtain histories of...

Diffusion-Augmented Spatio-Temporal Graph Convolution for Clinical Gait and Motor Function Assessment.

Accurate assessment of gross motor function in children with cerebral palsy (CP) is essential for cl...

Prevalence of generative artificial intelligence sexualized image usage by adolescents in the United States.

The prevalence of generative artificial intelligence (GenAI) usage related to sexualized images amon...

Representation learning for the prediction of length of stay in infants with congenital heart diseases undergoing cardiac surgery.

AIMS: Congenital heart disease is the most common birth defect and significantly impacts health, mor...

Machine learning-based prediction of BV-relevant probiotic functional potential in vaginal-derived Lactobacillus crispatus strains.

The vaginal microbiota plays a pivotal role in maintaining female reproductive health and homeostasi...

Teeth identification and numbering in mixed dentition: evaluating deep learning models for pediatric panoramic radiographs.

Structural gender inequities in dental specialty training in Türkiye: evidence from a national cross-sectional study.

BACKGROUND: This study investigated gender-based disparities in specialty preferences among dental s...

Effectiveness of machine learning for diagnosis and prognostic prediction of congenital heart disease: a systematic review and meta-analysis.

Characterising responses in group-housed pigs to Salmonella typhimurium infection through integrated computer vision-based behavioural monitoring and statistical analyses.

BACKGROUND: Health monitoring is crucial for early disease detection and prompt intervention to miti...

Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet-of-things (IOT) and point-of-care testing (POCT) devices.

The integration of artificial intelligence (AI) into healthcare is accelerating and maternity care i...

DeePedIMV: Deep learning model for early prediction of invasive mechanical ventilation in critically ill children.

BACKGROUND: Acute deterioration requiring invasive mechanical ventilation (IMV) is common in critica...

Pediatric nurses' use of generative artificial intelligence and their competency levels.

PURPOSE: This study was conducted to determine pediatric nurses' use of generative artificial intell...

Intelligent system for infants' pain detection: pain intensity estimation using deep learning approach.

Pain detection is an important agent for good pain management, especially for patients who are unabl...

Molecular and Pharmacogenetic Marker Evaluation in Relation to the Toxicity and Clinical Response of Acute Lymphoblastic Leukemia Treatment in Indian Children (MPGx-INDALL): Protocol for a Prospective Observational Cohort Study.

BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essentia...

Tailoring Materials Design for Aqueous Energy Storage and Conversion through Electrochemical Reconstruction.

The growing demand for renewable energy has spurred the development of efficient electrochemical sys...

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a "Fall Prevention" Data Module: Development Study.

BACKGROUND: In aging populations, the demand for care, including care delivery in long-term care (LT...

Mandibular Distraction Osteogenesis as Paradigm Shift for Treatment of Tongue-Based Obstructive Apnea: Results of a 16-Year, Hospital-Wide Intervention Trial.

BACKGROUND: Mandibular distraction osteogenesis (MDO) has emerged as the preferred surgical treatmen...

Development of a Machine Learning-based Model for Methimazole Dosage Adjustment in Youth With Hyperthyroidism.

CONTEXT: Accurate methimazole (MMI) dose adjustment in pediatric hyperthyroidism is crucial, but ind...

Accuracy of Diagnosis and Anticipation of Future Treatment in Pediatric Peripelvic Infections: The Role of Multisurgeon Review and Implications for Future Machine Learning Algorithms.

INTRODUCTION: MRI is commonly used to evaluate pelvic musculoskeletal infections. Limited "quick" MR...