Pediatrics

Robot Nurses and Artificial Intelligence in Pediatrics: Opinions of Pediatric Nurses: A Qualitative Study.

INTRODUCTION: This study was conducted to explore the views of pediatric nurses on robot nurses and ...

Evidence-Based Guidelines for Podcast Production and Use in Competency-Based Health Professions Education.

BACKGROUND: Podcasts are a popular educational tool in health professions that appeal to learners fo...

Artificial Intelligence in Pediatric Practice: Controversies, Policy, and Practical Pointers forNurse Practitioners.

Artificial intelligence (AI) is rapidly transforming pediatric healthcare, yet many pediatric nurse ...

Lightweight interpretable AI model using multiple blood parameters for emergency diagnosis of acute appendicitis.

BACKGROUND: Acute appendicitis poses diagnostic challenges due to symptom overlap with other abdomin...

Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults.

Pre-exposure prophylaxis (PrEP) is a highly effective biomedical prevention tool for HIV yet remains...

Machine Learning-Based Prediction Model for Delayed Chemotherapy-Induced Nausea and Vomiting in Pediatric Cancer: A Prospective Cohort Study.

BACKGROUND: Delayed chemotherapy-induced nausea and vomiting (CINV) in pediatric oncology patients i...

Emerging applications of artificial intelligence for obstetric ultrasound: A scoping review.

BACKGROUND: The WHO recommends that all pregnant women receive an ultrasound (US) scan prior to 24 w...

Machine learning and causal inference applied to the gut metagenome-metabolome axis reveals a link between neonatal jaundice and autism spectrum disorder.

UNLABELLED: Neonatal jaundice (NJ) might increase the risk of autism spectrum disorder (ASD) in chil...

Multicenter Evaluation of an Artificial Intelligence System for Automatic Recognition of Fetal Ultrasound Findings Suggestive of Congenital Malformations.

OBJECTIVE: To evaluate the diagnostic performance of an artificial intelligence (AI) system for dete...

Multi-Architecture deep learning for CBCT segmentation of dental hard tissues and pulp in mixed dentition.

OBJECTIVE: To develop and evaluate deep learning-based 3D models (CNN, Transformer, and Mamba archit...

Comparative study of the performance of two versions of the same AI tool for pediatric skeletal maturation assessment.

OBJECTIVES: To compare BoneXpert version 3 with version 2 in estimating bone age and bone health ind...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisens...

Advances in melanoma immunotherapy: harnessing vaccination as a potential novel immunotherapeutic strategy.

Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to impr...

Axial and choroidal changes as key predictors of myopia control in red-light therapy: Evidence from machine learning models.

BACKGROUND: Repeated low-level red-light (RLRL) therapy has emerged as a promising non-invasive inte...

Engagement, preference and identity: Proposing a developmental engagement framework.

Understanding how adolescents participate in science requires examining the developmental foundation...

A fully autonomous AI system for accurate and reproducible Cobb angle measurement in adolescent idiopathic scoliosis: a multicenter study.

BACKGROUND CONTEXT: The gold standard diagnostic test for Adolescent idiopathic scoliosis (AIS) invo...

Advancements in radiation dose reduction for pediatric CT head Imaging: A scoping review of emerging Technologies, Protocols, and optimization strategies.

Computed tomography (CT) is an important imaging modality that provides cross-sectional images, aidi...

Acute kidney injury: Detection, risk stratification, and predictive biomarkers.

BACKGROUND: Acute kidney injury (AKI) is a complex multifactorial syndrome characterized by a rapid ...

Unlocking academic gains in smart-classroom settings: A moderated-mediation study among Chinese undergraduates.

China's higher education system has invested heavily in the development of sensor-rich smart classro...

Using artificial intelligence to rewrite the script on pediatric ENT patient education.

Multicellular, Biochemical, and Perfusion Effects on Vessel Network Morphogenesis in a Microfluidic Vasculature-on-a-Chip.

Microvascular networks (MVNs) formed via endothelial cell self-assembly in 3D hydrogels have emerged...