Pediatrics

Artificial intelligence in surgical care within low-income and middle-income countries: a scoping review of development, validation, and deployment.

Artificial intelligence (AI) has the potential to expand access to high-quality surgical care in low...

Compact Involutional Transformer for Automated Detection of Pediatric Tooth Number Anomalies on Panoramic Radiographs.

Pediatric tooth number anomalies can compromise occlusion, craniofacial development, and long-term t...

The Effect of ChatGPT-Assisted Medication Dosage Calculation Training on Accuracy, Time, and Learning Satisfaction Among Nursing Students: A Quasi-Experimental Study.

Medication dosage calculation is a vital clinical skill essential for patient safety. However, many ...

Radiomics in fetal brain MRI: a narrative review.

Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the d...

Zero Echo Time Magnetic Resonance Imaging of the Spine.

Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed...

Mining antibody functionality via AI-guided structural landscape profiling.

Despite substantial progress in single-cell screening techniques, antibody (Ab) repertoires still re...

Development and Validation of an Automated Pediatric Cancer Staging Calculator Using the Toronto Pediatric Cancer Stage Guidelines.

BACKGROUND: Pediatric cancer stage at diagnosis is critical for prognosis and research comparisons. ...

An artificial intelligence approach to support adolescent suicide prevention initiatives in the United States.

Adolescent suicide remains a critical public health issue in the United States, with complex, interr...

Foodie traps within facebook cannabis promotional posts: Deploying multimodal deep learning AIs to monitor audience engagement.

BACKGROUND: Cannabis marketing has flourished due to the legalization of recreational cannabis acros...

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant ...

The acquisition of native language phonotactics: Integrating insights from machine learning, and adult and infant experiments.

Languages differ in their phonotactics - the restrictions on positions and sequencing of segments. M...

Certainty Language Use in Pediatric Radiology: A Single-Institution Analysis.

BACKGROUND: Radiologists often employ diagnostic certainty phrases (DCPs) to convey levels of confid...

Federated clinical concept and disease semantic learning for congenital heart disease diagnosis.

Effective first-trimester screening for congenital heart disease (CHD) remains an unmet clinical nee...

Nexus between environmental development and agricultural productivity: A study of inclusive sustainable development for Brazil.

Brazil, endowed with agricultural resources and a significant ecological footprint, stands at the cr...

Machine Learning Models for Identifying Dental Pain in Adolescents.

INTRODUCTION: This study aimed to identify dental pain using machine learning (ML) algorithms in Bra...

Precisely Identifying Growth Phases of Living Bacteria using Open-Set Deep Learning-Driven Single-Cell Raman Spectroscopy.

Owing to population cellular heterogeneity, it is still challenging to identify and determine the gr...

FTIR spectroscopy of peripheral blood mononuclear cells and machine learning: Spectral biomarkers for bacteremia, focal bacterial, and viral infections.

The rapid and accurate differentiation of bacteremia, focal bacterial infections (FBI), and viral il...

AI-powered Chatbot integration for enhanced accessibility of electronic health records in a pediatric hospital.

Navigating electronic health records (EHRs) remains a time-consuming task for clinicians, especially...

Educational impact and cost efficiency of AI-enhanced videos in pediatric surgery training: a quasi-experimental study.

Sleep awake detection from leg-worn wearables using deep sensor fusion.

Restful sleep is essential for health, yet many children with Attention Deficit Hyperactivity Disord...

Evaluation of a Facial Dysmorphology Analysis Algorithm (Face2Gene) in Identifying Treacher Collins Syndrome Amongst Diverse Population.

BACKGROUND: Treacher Collins Syndrome (TCS) is an uncommon congenital disease of the craniofacial co...