Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Early detection of cardiovascular disease is a global public health priority. Artificial intelligence (AI)-enabled stethoscopes offer robust performance characteristics in point-of-care detection of heart failure, atrial fibrillation, and valvular heart disease (VHD). We conducted a pragmatic, cluster-randomised controlled implementation trial to determine the real-world effect and imp...
Strabismus, affecting ~4% of children, impairs vision and psychosocial health. However, clinical diagnosis requires multiple instruments and stepwise examinations of ocular alignment, extraocular muscle function, and deviation angle. It is limited by low diagnostic objectivity, poor pediatric compliance, and high cost. Here, we propose a strategy for one-stop strabismus digital diagnosis via artif...
OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensional ultrasound (4D-US), structured scoring systems...
INTRODUCTION: Reliable biomarkers for the diagnosis of chronic pancreatitis (CP) and pancreatic fibrosis severity are lacking, hindering effective tre...
BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-making and preventive care, it is urgent to address eth...
INTRODUCTION AND AIMS: Accurate estimation of age and sex is crucial in forensic and clinical contexts, however conventional methods are subjective an...
This study developed deep learning (DL) models to predict axial length (AL) in 6-10-year-old schoolchildren using minimally abnormal color fundus phot...
Although many adolescents and young adults experiment with drugs, a subset may develop a drug use disorder (DUD). Few studies have used machine learni...
BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infant health. Inflammation is a potential factor for ...
It is well-known that drug development is challenging and a time- and resource-intensive endeavor. Historically, it has relied heavily on trial-and-er...
Long-Term Care (LTC) in Canada faces persistent challenges in quality, staffing, and accountability. InterRAI assessment instruments, used nationally ...
Microbial communities are integral to human health, biotechnology, and environmental systems, yet their analysis is hindered by data heterogeneity and...
BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic aneurysms. However, the evolution of EVAR researc...
BACKGROUND: Most artificial intelligence (AI) research in radiology has focused on adults. Understanding macro-level trends in pediatric radiology AI ...
BACKGROUND: Wolff-Parkinson-White (WPW) syndrome is characterised by accessory pathways that bypass the normal atrioventricular conduction system. Pre...
OBJECTIVES: To quantify fetal brain maturation in fetuses with early-onset fetal growth restriction (FGR) by estimating gestational age (GA) based on ...
BACKGROUND: This study aims to detect self-harm or suicide (SH-S) ideation language used by youth (aged 13-21 y) in their private Instagram (Meta) con...
Perinatal period is a critical time for brain development and premature-born children have an elevated likelihood for neurodevelopmental conditions. W...
Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analys...