Pediatrics

Editorial for "Infant Brain Age Estimation With T1w/T2w Ratio MRI: A Myelination-Aware Deep Learning Approach".

Artificial Intelligence-Assisted Wireless Handheld Ultrasound for Screening Developmental Dysplasia of the Hip in Infants.

OBJECTIVES: Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource-limited and remote settings. We aimed to develop an artificial intelligence wireless ...

Research trends and emerging topics in antifungal therapeutic drug monitoring: a bibliometric analysis with implications for clinical pharmacy practice.

INTRODUCTION: Therapeutic drug monitoring (TDM) plays an important role in optimizing antifungal pharmacotherapy because of the substantial pharmacoki...

Identification and validation of exosome-related biomarkers in pediatric glioblastoma.

Pediatric glioblastoma (pGBM) is an aggressive central nervous system (CNS) tumor whose pathological progression is significantly influenced by exosom...

Public antibody clonotypes and deep learning identify SARS-CoV-2 and HIV broadly neutralizing antibodies in immune repertoires.

Broadly neutralizing antibodies (bnAbs) are essential for the development of vaccines and therapeutics against rapidly evolving pathogens like HIV and...

Psychological adaptation to scaffolded generative AI use in higher education: SEM and thematic evidence from a private university's new media marketing course.

This study examines how students psychologically adapt to scaffolded generative artificial intelligence (GenAI) use in higher education. Drawing on th...

Determinants of Poor Health-Related Quality of Life in Patients With Food Allergy.

BACKGROUND: Food allergy (FA) significantly impairs health-related quality of life (HRQL), yet its key determinants remain unclear. This study aimed t...

Unmasking bias in artificial intelligence: sex and racial representation in critical care medicine through text-to-image generators.

BACKGROUND: The development of artificial intelligence (AI) has revolutionised medicine, impacting areas such as radiology, patient education, and cli...

Machine learning to improve the prediction of Large for Gestational Age (LGA) neonates: a cohort study.

BACKGROUND: Prediction of Large for Gestational Age (LGA) risk is important as it can enable earlier, more effective interventions, and avoid or mitig...

Promoting Psychological Resilience and Well-Being in Youth With a Smartphone-Based Ecological Momentary mHealth Intervention: Secondary Analysis of a Microrandomized Trial.

BACKGROUND: Ecological momentary interventions (EMIs) may be a promising tool for promoting mental well-being in youth, as they allow for targeting re...

Health-Related Quality of Life and Family Impact Among Children with Epilepsy: The Role of Seizure Control.

INTRODUCTION: Seizure control is the primary therapeutic goal in pediatric epilepsy, yet its multidimensional impact on health-related quality of life...

Evaluation of Five Large Language Models for Parental Education in Pediatric Anesthesia: Reliability and Readability Study.

BACKGROUND: Although large language models (LLMs) show potential for patient education, their accuracy, usability, and comprehensibility lack validati...

Mortality Risk Prediction from Dense PICU Data from Patients with Suspected Infection: Data-Derived Physiological Trajectories Outperform Expert Assessments When Temporal Resolution Is High.

OBJECTIVE: Early identification of mortality risk in critically ill children with suspected infection remains challenging. Whether severity scores (SI...

Evaluation of Baseline and Interim-Therapy PET Features for Prognostication in High-Risk Pediatric Hodgkin Lymphoma: A Retrospective Analysis of the AHOD1331 Trial.

This study aimed to evaluate the prognostic value of conventional and advanced PET metrics for predicting progression-free survival in high-risk pedia...

Effect of an electronic health record-integrated machine learning asthma risk marker on pediatrician prognostic accuracy during preschool age: a pilot randomized clinical trial.

Early identification of children at risk for persistent asthma is challenging because preschool respiratory symptoms are heterogeneous and often overl...

Tree ring segmentation performance in highly disturbed trees using deep learning.

Dendrogeomorphology provides valuable insights into the dating of geomorphic events but requires complex analyses of tree-ring records from highly dis...

The effect of growth hormone-releasing hormone on cognition and brain connectivity in adults with cognition ranging from normal to mild cognitive impairment.

Cognitive decline with age and other clinical conditions are linked with reduced hypothalamic-pituitary-adrenal (HPA) axis function. Stimulating the H...

Basket and umbrella trials in pediatric precision medicine: a systematic review of designs, opportunities, and challenges.

BACKGROUND: Personalized medicine, driven by genomic insights, has catalyzed the emergence of innovative clinical trial designs such as basket and umb...

Machine learning approaches in automated infant General Movements Assessment: A scoping review.

AIM: To evaluate and synthesize the literature on machine learning and deep learning methodologies in automated infant General Movements Assessment (G...

Advances in Biomaterial-Based Cardiac Organoids Engineering for Modeling Development and Congenital Heart Defects.

Human cardiac organoids have emerged as transformative platforms that bridge the gap between reductionist 2D cultures and poorly predictive animal mod...