Pediatrics

Machine Learning Prediction of Hospital Stay in Pediatric Typhoid Intestinal Perforation: Pilot Study.

INTRODUCTION: Typhoid intestinal perforation (TIP) remains a significant cause of pediatric morbidit...

Optimizing AI Voice for Adolescent Health: Preferences and Trustworthiness Across Teens and Parent.

INTRODUCTION: Communicating about adolescent health topics with adolescents and their parents is cru...

Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.

BACKGROUND: Emerging evidence implicates eosinophils as important modulators of disease activity and...

AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability.

BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approa...

Development of a community home-based dual-supplier cooperation care model for people with dementia based on an intelligent decision-assistance system: protocol of a 1-year randomised controlled trial in China.

INTRODUCTION: Dementia imposes significant care and financial burdens on families and countries glob...

The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.

OBJECTIVE: This feasibility study aimed to assess the potential of freely available large language m...

From Static Diagnosis to Dynamic Guidance : Evolution of Artificial Intelligence in Pediatric Neuroimaging.

The pediatric brain represents a dynamic biological target characterized by rapid myelination and fu...

Preface : Digital and Robotic Transformation of Pediatric Neurosurgery.

This Pediatric Issue of the Journal of Korean Neurosurgical Society addresses the digital and roboti...

ADAM: advanced design and AI-driven modeling for plant tissue culture media optimization.

BACKGROUND: Optimization of biotechnological processes is traditionally limited by time-consuming tr...

Emerging role of artificial intelligence in necrotizing enterocolitis and implementation challenges.

Necrotizing enterocolitis (NEC) remains a persistent clinical challenge, with diagnostic strategies ...

Research on the construction of an artificial intelligence model for the early diagnosis of pediatric acute appendicitis: a single-center retrospective study based on complete blood count.

An investigation into factors associated with adolescent internet gaming disorder: utilizing machine learning and path analysis model.

With the evolving structure of modern internet gaming, adolescent internet gaming disorder (IGD) has...

AI-Based Denoising for Simulated Dose Reduction in Pediatric Chest Radiography: A Prospective Multicenter Evaluation of Image Quality and Diagnostic Performance.

RATIONALE AND OBJECTIVES: Radiation dose reduction in pediatric chest radiography is a clinical prio...

Creating gerotechnologists: a call to action for university-based collaboration bridging gerontology and engineering.

This paper urges universities to form interdisciplinary partnerships between gerontology and enginee...

Rehospitalization in Preterm Infants: Machine Learning Prediction Model & Associated Risk Factors.

BACKGROUND AND OBJECTIVES: Preterm birth is a major global health concern, with preterm infants (PI)...

Graph theory reveals functional connectome disruptions in adolescent major depressive disorder with childhood trauma.

BACKGROUND: Childhood trauma (CT) is a major risk factor for adolescent major depressive disorder (M...

Machine learning-based mortality prediction for pediatric fulminant myocarditis using cytokine profiles.

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in ...

In silico discovery of nanobody binders to a G-protein coupled receptor using AlphaFold-Multimer.

Antibodies are central mediators of the adaptive immune response, and they are powerful research too...

Modelling the epidemic dynamics of HPV among women in China and optimization of ongoing cervical cancer elimination strategies.

BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer hav...

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study.

BACKGROUND: Once considered a disease observed in older adults, type 2 diabetes is now increasingly ...