Pediatrics

Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives.

Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral a...

Overview of a User-Centered, Mixed-Methods Process for Designing Interconnected and Focused Mobile Applications on Patient Care Environment (InterFACE): Augmented-Reality Decision Support System for Pediatric Resuscitation.

BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical proc...

Predicting vesicoureteral reflux outcomes using artificial intelligence: A critical appraisal using APPRAISE-AI.

Vesicoureteral reflux (VUR) is a common congenital urinary tract anomaly in children, associated wit...

Crucial Conversations: Psychiatric Diagnosis and Shared Decision-Making With Adolescents in the Age of Social Media and Artificial Intelligence.

Retinal Biomarkers for Cardiovascular Disease Prediction: A Review Focused on CHD AHD Valvular Disorders and Cardiomyopathies.

INTRODUCTION: Cardiovascular diseases (CVDs) remain the leading cause of global mortality, with cong...

Machine Learning Tools for Predicting Pediatric Urinary Tract Infections Caused by ESBL-producing Bacteria.

BACKGROUND: The prevalence of pediatric urinary tract infections (UTIs) caused by extended-spectrum ...

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification.

Biopharmaceutical manufacturing requires robust analytics and process controls throughout production...

Global research trends in robotic-assisted thoracoscopic surgery: a multidimensional analysis from 2000 to 2025.

OBJECTIVE: Robotic-assisted thoracoscopic surgery (RATS) has transformed thoracic surgery, yet fragm...

Clinical Applications of Data Science and Machine Learning in the Pediatric Cardiac Intensive Care Unit.

To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac int...

AI-Enhanced Continuing Professional Development as an Evolving Sociotechnical System: Multimethod Theoretical Framework Development Study.

BACKGROUND: Artificial intelligence (AI) is changing continuing professional development (CPD) in he...

The dynamics of hepatitis B virus transmission using a stochastic differential model and feed forward neural network approach.

Hepatitis B transmission is influenced by environmental variability, immune response and vaccination...

[Cardiology : what's new in 2025].

In 2025, significant progress has been made in the management of heart failure and cardiovascular di...

Bridging the Gap: A Scoping Review of Clinical Decision Support Systems in End-of-Life Care for Older Adults.

BACKGROUND: Clinical decision support (CDS) systems have been widely adopted in health care to enhan...

Artificial Intelligence Integration in Pediatric Nursing Education: Challenges and Strategies for India's Health Care Future.

A Large Language Model Approach to Functional Status Scale Assessment.

OBJECTIVES: To develop a fine-tuned version of the generative pretrained transformer (GPT)-4o artifi...

Primary infliximab failure in pediatric colonic inflammatory bowel disease: Development of a proteomics predictive model using a prospective Canadian cohort.

BACKGROUND: We aimed to build a serum proteomics-based model to predict primary nonresponse (PNR) to...

Large Language Models for Health Care Text Classification: Systematic Review.

BACKGROUND: Large language models (LLMs) have fundamentally transformed approaches to natural langua...

Artificial intelligence for animal identification: Development of a computer vision system for reliable dairy cattle traceability across developmental phases.

Individual animal identification is crucial for dairy cattle management, regulatory compliance, and ...

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdT...

Opportunistic growth phenology and water-use of semi-arid tree species of northern Arizona.

In forests of the southwestern US, the seasonality - or phenology - of tree growth is affected by a ...

A machine learning classifier to identify and prioritise genes associated with murine cardiac development.

Congenital heart disease (CHD) is a major cause of infant mortality and presents life-long challenge...