Pediatrics

Co-designing growth factors for the synthesis of (6, 5)-enriched single-walled carbon nanotube horizontal arrays.

Precise control over the diameter and chirality of single-walled carbon nanotubes (SWNTs) is critical for scalable electronic applications, yet it remains a challenge for horizontally aligned arrays. Although low-temperature powder synthesis routinely yields sub-1 nm SWNTs with relatively high chirality selectivity, directly transferring these growth conditions to substrate-guided horizontal array...

The road to innovation: Collaborative enhancement of clinical prediction-A 9th World Congress of Pediatric Cardiology and Cardiac Surgery closing plenary lecture.

Innovation in paediatric and adult congenital cardiology increasingly depends on collaboration among academia, industry, and professional communities. From this perspective, the author argues that clinical prediction represents a natural convergence point for these stakeholders, aligning safe, personalised care with economic incentives. The author discusses emerging evidence highlighting the promi...

Innovation in intensive care: a framework to turn ideas and concepts into actionable solutions.

INTRODUCTION: Intensive care is under increasing pressure due to demographic changes, availability of new complex therapies, and workforce shortages, ...

Intraoperative Transesophageal Echocardiography in Cardiac Surgery: Clinical Applications, Decision-Making, and Impact on Outcomes.

Intraoperative transesophageal echocardiography (TEE) has become a central component of modern cardiac surgery by providing real-time, high-resolution...

Automated Detection of Pediatric Slipped Capital Femoral Epiphysis: A Deep Learning Approach Using Anatomically Informed Attention Guidance.

BACKGROUND: Slipped capital femoral epiphysis (SCFE) is an adolescent hip disorder that is often missed on initial presentation due to subtle radiogra...

Hybrid vision transformer framework for congenital heart disease diagnosis.

The Role of Sulfur in Single-Walled Carbon Nanotube Growth.

It was broadly known that the addition of a small amount of sulfur into the reactor drastically changes the behavior of single-walled carbon nanotube ...

Transitions of School-Family-Community assets profiles and their associations with adolescent positive development and adjustment.

External assets as a support system on adolescents' development are particularly crucial. The present study aims to explore whether and how profiles o...

Screening and dynamic change study of microbial and metabolite markers for calf diarrhea based on multi-omics and machine learning.

UNLABELLED: Neonatal calf diarrhea is a leading cause of calf mortality and substantial economic loss in the livestock industry, yet the dynamic micro...

AI-Enhanced Automatic Life Story Structuring for Reminiscence Therapy in Older Adults: Technical Feasibility Study.

BACKGROUND: Storytelling interventions have demonstrated substantial potential in improving emotional well-being, cognitive function, and quality of l...

Targeted Real-Time Assessment of Chronic Pain (TRAC-Pain) in Youth: Protocol for a Digital Biosignature Development Through a Prospective Observational Cohort Study.

BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent subt...

Artificial intelligence-driven histomorphometry: A milestone toward standardizing celiac disease diagnosis.

A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.

BACKGROUND: Accurate assessment of infant body composition, specifically fat and fat-free mass, is crucial for evaluating growth and nutritional statu...

Identifying minimal risk factors for adolescent suicidal ideation and suicide attempts: A machine learning-optimized approach.

This study aimed to develop and validate a machine learning (ML) model to identify the minimal risk factors for adolescent suicidal behaviors, includi...

Beyond exam accuracy: Tracking a persistent-failure set reveals visual dental reasoning gaps in multimodal LLMs.

OBJECTIVES: To benchmark late-2025 general-purpose multimodal large language models (LLMs) on the Japanese National Dental Examination (JNDE) and to r...

Human Allele Frequency Distributions Contradict Current Narratives of Imminent Danger From Genetically Targeted Bioweapons.

Warnings of pathogens manufactured to target a specific ethnic group, so-called genetic bioweapons, have recently received considerable media attentio...

Real-time deep learning interpretation of echocardiographic video for automated detection of anatomical features associated with tetralogy of fallot in pediatric patients : a feasibility study.

Challenges in translating AI-driven ASD/ADHD diagnosis: A methodological systematic review.

BACKGROUND: Early and accurate diagnosis of neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD) and attention-deficit/hypera...

Beyond Conventional Imaging: From Time-Based to Data-Driven Decision-Making in Acute Ischemic Stroke.

Reperfusion therapy has profoundly transformed acute ischemic stroke (AIS) care. Initially, treatment decisions relied primarily on time from symptom ...

The relationship between artificial intelligence literacy and artificial intelligence anxiety: A cross-sectional study among pediatric nurses.

AIM: This study aimed to investigate the relationship between pediatric nurses' levels of artificial intelligence literacy and artificial intelligence...