Pediatrics

Neuroanatomy reflects individual variability in impulsivity in youth.

Individual differences in neural circuits underlying emotional regulation, motivation, and decision-...

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC).

Postoperative placement of patients into a regular ward, an intermediate-care unit (IMC), or an inte...

Optimising pandemic response through vaccination strategies using neural networks.

Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to bal...

Enzyme-constrained genome-scale model of Yarrowia lipolytica predicts growth-phase specific metabolic engineering targets.

The oleaginous yeast Yarrowia lipolytica has been gaining increasing importance as an industrial bio...

Genome-wide detection of human 5' UTR variants that impact protein translation.

The 5' untranslated region (5' UTR) of messenger RNAs (mRNAs) plays a central role in regulating pro...

Association of Music Therapy and Physiologic Indices in the Pediatric Cardiac Intensive Care Unit: Insights from Machine Learning and High-fidelity Physiologic Data.

Comparative evaluation of multimodal large language models for diagnostic accuracy in pediatric electrocardiography: a prospective comparative diagnostic accuracy study.

UNLABELLED: We evaluated three multimodal LLMs, ChatGPT (GPT-5.2), Gemini 3, and Microsoft Copilot, ...

Contemporary clinical incident analysis methods used within acute care settings: a scoping review.

OBJECTIVE: The objective of this review was to explore and synthesize the research on the use of con...

Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven Automatic Clinical Note Generation in Primary Care: Proof-of-Concept Study.

BACKGROUND: The workload that stems from writing clinical histories is one of the main sources of st...

Artificial Intelligence in Neurocritical Care : Multimodal Biosignal Analysis for Prognosis, Monitoring, and Future Pediatric Applications.

Neurocritical care relies on continuous assessment of neurological function and physiology under tim...

What factors influence patient participation in an artificial intelligence-based initiative to optimise referrals from primary to specialist haematology care? A multicentre retrospective observational study in four Spanish hospitals.

OBJECTIVES: Increasing demand for haematological specialist care makes the optimisation of referrals...

An integrated model of financial socialization, technology, and financial capability in predicting financial well-being.

This study develops and empirically tests an integrated framework that explains how financial social...

Integration of Systemic Immune-Inflammation Index and Lactate for diagnostic and early risk stratification in pediatric sepsis.

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges w...

REM Sleep Abnormalities in Children With Autism Spectrum Disorder.

Sleep disturbances are common in children with autism spectrum disorder (ASD). However, the sleep pa...

Deep learning model for automated identification of ventrally positioned right hepatic artery in contrast-enhanced computed tomography of pediatric congenital biliary dilatation: development and clinical application.

BACKGROUND: Preoperative identification of a ventrally positioned right hepatic artery (vRHA) is cri...

Harnessing Large Language Models in Neonatal IVH: Exploring RAG Methodology for Prognostic Variable Discovery.

OBJECTIVE: To evaluate whether large language models (LLMs) can autonomously synthesize existing lit...

Artificial Intelligence Applications in COVID-19-Associated Coagulopathy: Lessons Learned.

Coronavirus disease 2019 (COVID-19)-associated coagulopathy (CAC) is a thromboinflammatory syndrome ...

Rapid assessment of pesticide toxicity in aquatic ecosystems using deep learning-based automatic duckweed counting method.

Pesticides are widely used in agriculture to control weeds, insects, and diseases that threaten crop...

Comprehensive Evaluation of ChatGPT's Diagnostic Accuracy on Image-based Ophthalmic Case Interpretations.

OBJECTIVE: To evaluate the diagnostic and treatment accuracy of Chat Generative Pre-trained Transfor...

Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison.

BACKGROUND: Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (...