Pediatrics

Nursing Leadership for Digital NICU Transformation: A Systematic Review of Strategies, Digital Health Integration, and Outcomes in High-Risk Neonates.

BACKGROUND: Digital health technologies are increasingly embedded in Neonatal Intensive Care Units (...

A 2004-2025 Bibliometric Study of Genetic Variation and Multiomics Biomarkers in Sepsis Based on 940 Publications.

Sepsis is a highly heterogeneous syndrome, and conventional clinical indicators and single biomarker...

AI-engineered AAV capsid enables intravitreal delivery for the treatment of diverse retinal degenerations.

Retinal degenerations, including Leber's congenital amaurosis type 1 (LCA1) and wet age-related macu...

Study on the construction and verification of intraoperative pressure injury risk prediction model for children undergoing cardiac surgery.

BACKGROUND: This study applied nomogram to develop an intraoperative acquired pressure injury (IAPI)...

Machine learning approach to analyzing complex care coordination patterns for medically complex children.

BACKGROUND: The number of children with medical complexity (CMC) in Japan has exceeded 20,000, doubl...

Fostering Digital Resilience Among Youth Who Experienced Cyberbullying: Design Thinking Approach.

BACKGROUND: Cyberbullying affects approximately one-third of Thai secondary school students and has ...

Artificial intelligence and machine learning for detecting suicidal ideation and related suicide outcomes among adolescents: A scoping review.

OBJECTIVE: This scoping review aimed to map the existing evidence on the application of artificial i...

Multidisciplinary research priorities for artificial intelligence in mental health: a call to action.

The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the...

Transformer-based classification with enhanced causal explainability from otoscopic images.

Otitis media is a major cause of hearing loss, particularly in children. However, nonspecific sympto...

Integrated framework for pediatric height assessment: X-ray-based height extreme cases classification and machine learning for multivariate height prediction.

Pediatric height assessment is crucial for evaluating growth and enabling timely intervention. Howev...

Plant Biofactories for Vaccination: Progress in Edible Vaccine Technologies as a Sustainable Approach to Global Immunization.

Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, di...

Emerging Novel SARS-CoV-2 Subvariants and the Advantages of AI-ML in Deciphering the Mutation Trends, Genomic Surveillance and Vaccine Development.

BACKGROUND AND AIM: The world witnessed COVID-19 in 2025 yet again, a resurgence driven by LF.7 and ...

A near-standard soil spectral library to improve stability and transferability of hyperspectral remote sensing models for soil heavy metal prediction.

Limited sample sizes and regional differences in pollution characteristics and soil properties often...

A method for early ultrasound classification of developmental dysplasia of the hip in infants: combining YOLOv8-based keypoint detection with radiomics.

This study introduces an innovative method for early ultrasound classification of developmental dysp...

Predicting Psychiatric Readmission of Children and Adolescents Using Machine Learning.

INTRODUCTION: Recurrent psychiatric hospitalizations in youth are costly and burdensome to patients ...

Service Robots as Work Support for Health Personnel in Long-Term Care: Protocol for a Scoping Review.

BACKGROUND: Demographic shifts are increasing the global demand for long-term care services, coincid...

The rise of medical autonomous care, a paradigmatic turning point for military and civilian delivery of health care.

RATIONALE: Resource-limited or austere environments represent a direct threat to the likelihood of s...

Machine learning approaches in automated infant General Movements Assessment: A scoping review of current practice and challenges.

Evaluating the role of youth-onset diabetes mellitus in the context of food insecurity and preventive care: a repeated cross-sectional study using propensity score weighted machine learning analysis.

BACKGROUND: Youth-onset diabetes mellitus (DM) is an increasing public health concern, especially am...

Development of a target product profile for artificial intelligence in diabetic eye screening in England: a modified Delphi consensus study.

Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap be...

Development and validation of a deep learning model for radiographic classification of pediatric femoral neck fractures.

BACKGROUND: The Delbet-Colonna (DC) classification guides treatment of pediatric femoral neck fractu...