Pediatrics

Integrating Heterogeneous Real-World Cancer Data for Semantic Interoperability in Oncology and Medical Imaging: Development and Validation of the Cancer Image Europe Hyperontology.

BACKGROUND: Semantic interoperability in health care, essential for seamless integration of informat...

Pediatric tele-behavioral health: history, evidence, barriers, and emerging directions.

There has been an increasing prevalence of mental and behavioral health conditions in children and a...

AI at the Bedside: An Argument for a Training Wheels Approach.

Bedside use of artificial intelligence (AI) platforms is increasingly common. Busy clinicians may we...

Human cardiovascular organoids: Biomedical applications and ethical challenges.

Cardiovascular disease (CVD) remains the leading cause of global mortality, yet traditional in vitro...

Automated Diagnosis of Infantile Skull Fractures From X-Ray Images Using an Ensemble Deep Learning Model.

BACKGROUND: To develop an artificial intelligence (AI)-assisted model for detecting skull fractures ...

Wearable Sensors Offer Opportunities for Phenotyping Perinatal Mood Disorders: a Narrative Review.

Pregnancy and the postpartum period are known to elicit changes in sleep, circadian rhythms, and hor...

Digital twins and explainable AI across the vaccine life cycle: from mRNA manufacturing to thermostability, cold-chain logistics, and immunisation services.

The COVID-19 era accelerated the deployment of mRNA vaccines while exposing persistent weaknesses in...

Beyond accuracy: translating machine learning risk models into meaningful clinical decision support in neonatal intensive care.

Deep Learning Pipeline for Automatic Segmentation, Classification, and Molecular Subtyping of Three Pediatric Posterior Fossa Tumors Using T2-Weighted MRI.

BACKGROUND: Pediatric posterior fossa tumors vary in malignancy, treatment, and prognosis across tum...

A Comprehensive Review of Patent Trends in Personalized Nutrition Using Medicinal Plants Across Asia.

The personalized food industry aims to maintain health and prevent disease through nutritional solut...

Dual-Approach AI for Pediatric Supracondylar Fractures: Multiclass Radiograph Classification with Explainable AI and Diagnostic Meta-analysis of AI-Based Computational Approaches.

RATIONALE AND OBJECTIVES: Pediatric supracondylar fractures (SCFs) are the most common elbow injury ...

Telehealth in Pediatrics: A Quick Review.

Telehealth has become a cornerstone of modern pediatric care, offering continuity, access and effici...

From oxidative stress to epigenetic regulation: Molecular mechanisms of preterm brain injury and neuroprotective strategies (Review).

Preterm brain injury remains a leading cause of long‑term neurodevelopmental impairment despite adva...

TabPFN-based explainable machine learning for predicting neonatal hyperbilirubinemia: A decade-long retrospective cohort study.

Neonatal hyperbilirubinemia is common in early neonatal life, and delayed recognition of high-risk i...

Artificial Intelligence for Diagnosis, Risk Stratification, and Prognosis of Neuroblastoma - A Systematic Review and Meta-Analysis.

PURPOSE: To synthesizes evidence on artificial intelligence (AI) performance in neuroblastoma (NB) d...

Digital Predictive Technologies for Fall Risk Assessment, Prediction, and Prevention in Long-Term Care: A Scoping Review.

OBJECTIVES: This scoping review aimed to map the available evidence on digital predictive technologi...

Ecological Filtering by Tuber Compartments Shapes Stable Core Microbiomes That Underpin Potato Plant Growth Across Environments.

Harnessing plant microbiomes for sustainable agriculture requires understanding not only whether the...

Smartphone based clinical decision support system for early detection of neonatal jaundice using artificial intelligence with temporal convolutional network.

Physiological jaundice is present in the initial week of life in neonates owing to the rise in level...

Temporal validation of machine-learning models for shingles vaccine nonvaccination among U.S. adults aged 50 years and older.

BACKGROUND: Herpes zoster vaccination is recommended for U.S. adults aged 50 years and older, yet ma...

Prediction of retinopathy of prematurity using machine learning models.

BACKGROUND: Early identification of neonates at risk of retinopathy of prematurity (ROP) is essentia...

The Challenges of Predicting Rare Outcomes: A Critical Appraisal of Machine Learning Using the Pediatric Resuscitation and Trauma Outcome (PRESTO) Model in a Tanzanian Injury Registry.

BACKGROUND: Injuries are responsible for 950,000 deaths per year among children and adolescents unde...