Pediatrics

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 reducti...

Development of an Arterial Carbon Dioxide Estimation Model Using End-Tidal Carbon Dioxide Levels during Surgery in the Pediatric Population.

BACKGROUND: Intraoperative arterial carbon dioxide partial pressure monitoring is essential for pedi...

Achieving Equity in Age of Artificial Intelligence.

This supplement is a step forward in promoting health equity and a race-conscious approach in clinic...

Determinants of childhood and adolescent obesity: An explainable AI approach using the ICAD database.

OBJECTIVES: To identify the biological, behavioural, and socio-demographic determinants of childhood...

Post-Pandemic Forecasting of Pediatric Acute Respiratory Infections with Deep Learning: A Multi-Pathogen, Multi-Time-Horizon Study.

BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalizatio...

Machine learning algorithms in jointly developing prediction models for subsequent school bullying victimization in Chinese children and adolescents.

Existing evidence indicates that children and adolescents experiencing bullying victimization (BV) e...

Response to Letter to the Editor re: "Artificial intelligence in pediatric urology: Opportunities, limitations, and the need for methodological rigor".

Machine learning model based on clinical and imaging features for predicting fungal infections in children with leukemia.

BACKGROUND: Due to immunosuppression, mucosal barrier injury, and prolonged neutropenia resulting fr...

EDRNet-based adolescent idiopathic scoliosis screening method using bare-back images.

BACKGROUND: Adolescent idiopathic scoliosis (AIS) affects 2-3% of adolescents. Current screening rel...

Exploring Expectations, Ethical Dimensions, and Values for Voice-Enabled AI Assistants That Support Older Adults and Informal Family Caregivers: Participatory Speculative Design Study.

BACKGROUND: Continuous advancements in voice artificial intelligence technologies aim to assist olde...

Deep learning-based natural language processing for critical care identification in pediatric emergency department.

BACKGROUND: The initial assessment of pediatric emergency patients is challenging due to diverse cli...

Longitudinal patient-reported outcomes after spinal fusion for adolescent idiopathic scoliosis: recovery trajectories and insights into surgical timing.

PURPOSE: Health-related quality-of-life (HRQOL) assessment provides insight into patient's subjectiv...

Implementing Digital Respiratory Technologies for People With Respiratory Conditions: Scoping Review.

BACKGROUND: Digital health offers opportunities for safe, equitable, and accessible care, and its in...

Evaluating interactive 2D visualization as a sample selection strategy for biomedical time-series data annotation.

Reliable machine-learning models in biomedical settings depend on accurate labels, yet annotating bi...

Navigating Diabetes Management in the Digital Era: Scoping Review of Online Health Information-Seeking Behavior.

BACKGROUND: Online health information seeking (OHIS) has become a central component of chronic disea...

Experts' Opinions on the Sustainable Use of Digital Health Tools for Effective Future Pandemic Preparedness and Response: Questionnaire Study.

BACKGROUND: The COVID-19 pandemic demonstrated the potential role of digital health tools in enhanci...

Aligning neonatal sepsis triage diagnostics with WHO target product profiles in low- and middle-income countries.

Neonatal sepsis is a leading cause of infant morbidity and mortality in low- and middle-income count...

Artificial intelligence for detecting fetal orofacial clefts and advancing medical education.

Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prena...

Robust quantification of ICG fluorescence perfusion in neonatal bowel surgery via deep point tracking.

PURPOSE: Indocyanine green (ICG) fluorescence imaging is increasingly used for intraoperative bowel ...

Data subdivision approach enhances machine learning-based mortality prediction in pediatric ICU patients.

OBJECTIVE: To evaluate machine learning-based models for predicting all-cause mortality in pediatric...

Letter to the Editor re: "Artificial intelligence in pediatric urology: Opportunities, limitations, and the need for methodological rigor".