Latest AI and machine learning research in pediatrics for healthcare professionals.
Recovering scene color from images captured in scattering media is a fundamental inverse problem in ...
Background: Most studies seeking to identify youth at increased risk for depression have developed p...
Automated pediatric electrocardiogram (ECG) diagnosis remains challenging because models trained pre...
Audio-based stuttering systems to date have been trained for detection -- what disfluency is present...
The pervasive growth of digital content, specifically short videos on social media platforms, has si...
The prefrontal cortex (PFC), a brain region critical for executive and cognitive functions, is chara...
Accurate and consistent Emergency Severity Index (ESI) assignment remains a persistent challenge in ...
Objective: To test whether machine learning (ML) models trained on tidal breathing flow time series ...
Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower w...
Background Although Kenya's HIV programme has long prioritized high-burden counties for intensified ...
The widespread adoption of social media has heightened interest in its psychological effects, partic...
Temporal resolution of physiological monitoring in intensive care varies widely across healthcare sy...
Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indi...
Accurate diagnosis of pediatric brain tumors, starting with histopathology, presents unique challeng...
MRI is preferred over CT in paediatric imaging because it avoids ionising radiation, but its use in ...
The human immune system strongly varies across populations and is shaped by a wide range of host and...
ImportanceGuideline-concordant care for young children with attention-deficit/hyperactivity disorder...
Echocardiography is a widely used modality for cardiac assessment due to its non-invasive and cost-e...
The adolescent brain is attuned to social and environmental exploration, allowing behavioral adaptat...
The classification of pediatric brain tumors is investigated using deep learning on hematoxylin and ...
Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells....