Latest AI and machine learning research in pediatrics for healthcare professionals.
Surface-enhanced Raman scattering (SERS) nanotags provide highly sensitive platforms for in vitro di...
Background and Purpose: Drug resistant epilepsy (DRE) affects approximately 15 million people worldw...
Adolescence is a critical developmental window for the emergence of substance use and psychosis-spec...
Antimicrobial stewardship (AMS) is critical in pediatric intensive care units (PICUs), where diagnos...
Children with rare genetic diseases often exhibit distinctive facial phenotypes, yet developing comp...
Ensuring global food security under rapid climate change demands accelerated genetic gain and breedi...
Adolescence is an important developmental period during which there are diverse changes in the brain...
Background Increasingly accessible satellite imagery provides scalable measures of the built and nat...
Objective: Readmissions to the PICU are associated with increased morbidity and mortality. A predict...
Deploying multi-sequence magnetic resonance imaging (MRI) segmentation models to new clinical enviro...
Human behavioral and mental health outcomes arise from interactions among genetic, environmental, an...
The US Food and Drug Administration (FDA) maintains a public list of artificial intelligence and mac...
Single-cell transcriptomics transformed our understanding of cellular heterogeneity, yet cross-datas...
Developing sensory systems may have heightened sensitivity to exaggerated features that emphasize di...
High-resolution postmortem (ex vivo) magnetic resonance imaging enables detailed examination of brai...
Accurate brain and cerebrospinal fluid (CSF) volume assessment is essential for pediatric hydrocepha...
Deep learning-based organs/structures-at-risk(OARs) auto-contouring models can improve radiotherapy ...
Kawasaki disease (KD) is a systemic vasculitis in young children, and early diagnosis remains challe...
Rare diseases are characterized by heterogeneous, weak, and sparse phenotypic signals that emerge gr...
Self-supervised pretraining has become central to biological machine learning, yet microbiome data r...
Severe fetal growth restriction (sFGR) affects 5 to 10% of pregnancies worldwide and is a major cont...