Pediatrics

Machine Learning Models Used to Predict Abdominal Aortic Aneurysm Growth and Rupture: A Systematic Review and Critical Appraisal.

BACKGROUND: Abdominal aortic aneurysm (AAA) rupture remains a major cause of mortality, and diameter-based surveillance is an imperfect predictor of risk. Some aneurysms rupture below operative thresholds, whereas others remain stable despite exceeding them. Machine learning (ML) may improve risk stratification by integrating geometric, hemodynamic, radiomic, and clinical data. We performed a syst...

Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fully in-person international meeting and served as the official launch platform for the ERC Resuscitation Guidelines 2025. The congress brought together nearly 3000 participants from 77 countries, representing a multidisciplinary community of clinicians, educators, scientists, survivors of out-of-hos...

Implementation and Evaluation of Virtual Care in Canadian Health Care Systems: A Scoping Review.

OBJECTIVE: This scoping review examined available evidence in implementation and evaluation of virtual care in Canada. Virtual care saw recent uptake ...

Personalized prediction of initial valproic acid dose in children with epilepsy using machine learning techniques.

INTRODUCTION: Valproic acid (VPA) is widely prescribed antiepileptic drug in children because of its broad-spectrum efficacy. However, marked inter-in...

Artificial intelligence in pediatric myopia - a narrative review.

Toward a multi-level, needs-based approach to cancer navigation: Considerations for service design.

Evidence suggests that patient navigation can help address ongoing barriers to accessing timely, appropriate, and quality cancer care. It also support...

Machine learning-based prediction of out-of-hospital births in prehospital emergency care.

BACKGROUND: Unplanned out-of-hospital births constitute rare but high-risk obstetric emergencies managed by emergency medical services (EMS). Rapid as...

Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review.

BACKGROUND: Fuzzy logic has been progressively investigated as a viable alternative to traditional statistical and machine learning methods in health ...

Artificial intelligence for detection, grading, and prognostication in prostate cancer pathology: A scoping review.

Artificial intelligence (AI) has been transforming many aspects of medical care. In prostate cancer, ongoing progress in AI has improved research and ...

Social support detection from social media texts.

Social support, conveyed through a multitude of interactions and platforms such as social media, plays a pivotal role in fostering a sense of belongin...

International Delphi consensus on acute kidney injury: Foundations for AI-driven digital twin development in critical care nephrology.

BACKGROUND: Acute kidney injury (AKI) in critically ill patients is clinically complex and heterogeneous, limiting the development of structured simul...

Intraventricular hemorrhage in preterm infants: A systematic review of risk- and outcome-prediction models.

Intraventricular hemorrhage (IVH) is a major complication of prematurity and one of the top causes of mortality and neurodevelopmental impairment. We ...

Key factors associated with social anxiety symptoms among Chinese adolescents: An exploration via machine learning models.

BACKGROUND: Numerous factors from the family environment, school contexts, and individual characteristics have been shown to be associated with adoles...

Optimized Complex-Valued Spatio-Temporal Graph Convolutional Networks for attention deficit hyperactivity disorder detection in pediatric EEG signals.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition affecting mood, anxiety, learning, and sleep. Electroencephalogram (...

Can artificial intelligence bridge the gaps for primary diabetes care in low-income and middle-income countries?

Artificial intelligence (AI) has the potential to improve primary diabetes care in low-income and middle-income countries (LMICs), where the rising bu...

Neuroanatomy reflects individual variability in impulsivity in youth.

Individual differences in neural circuits underlying emotional regulation, motivation, and decision-making are implicated in many psychiatric illnesse...

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 intensive care unit (ICU) is critical for balancing pa...

Optimising pandemic response through vaccination strategies using neural networks.

Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to balance health outcomes and economic constraints. Thi...

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 biotech platform, supported by several available meta...

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 protein synthesis initiation, particularly through th...