Latest AI and machine learning research in pediatrics for healthcare professionals.
The exponential growth of artificial intelligence (AI) in healthcare has sparked both enthusiasm and apprehension within the nursing discipline. While AI promises to enhance clinical efficiency, accuracy, and decision-making, it simultaneously challenges nursing's humanistic foundations, its ethical commitments, relational presence, and caring philosophy. This paper critically examines how classic...
OBJECTIVE: Recreational activities are considered vital for emotional and cognitive health of youth, yet empirical research examining the specific associations between recreational activities and youth behavioral and cognitive outcomes is limited. METHOD: In this cohort study, interpretable machine learning methods, specifically random forest paired with SHapley Additive exPlanations (SHAP) analys...
The tissue-level processes underpinning metastatic outgrowth remain unclear. We combined single-cell RNA sequencing, spatial transcriptomics, and AI-s...
Artificial intelligence (AI)-powered assessment, with its ability to process multimodal data and support real-time evaluation, is transforming traditi...
Pediatric neuro-oncology is a critical field of neurosurgery, representing the leading cause of disease-related mortality in children. Despite its rar...
OBJECTIVE: This study was undertaken to develop and validate an artificial intelligence (AI) diagnostic tool using hybrid electroencephalographic (EEG...
Pararescue jumpers are United States Air Force medical tactical operators who provide advanced trauma and prolonged casualty care in austere, high-ris...
Pediatric congenital hydronephrosis (CH) is a common urinary tract disorder, primarily caused by obstruction at the renal pelvis-ureter junction. Magn...
Artificial neural network-based machine learning provides foundations for artificial intelligence (AI), yet requires high energy costs for training. B...
PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical implementation across medicine including pediatric e...
BACKGROUND: Otitis media is common in children. Otoscopic differentiation of acute otitis media (AOM), otitis media with effusion (OME) and normal tym...
BACKGROUND: Assessing dental caries, sealants, and fluorosis is essential for public health surveillance, providing critical data to evaluate national...
Hydrocephalus is characterized by abnormal cerebrospinal fluid accumulation causing ventricular enlargement, which, if undetected, can lead to neurolo...
BACKGROUND AND PURPOSE: With the exponential growth in the volume of competitive sports research, traditional bibliometric methods based on keyword co...
Two-dimensional magnetic materials (2D-MM) are an exciting playground for fundamental research, and for spintronics and quantum sensing. However, thei...
Artificial Intelligence (AI) is rapidly transforming modern health care by enhancing data analysis, decision-making, and automation across clinical do...
To address the static limitations of current career assessment methods and the lack of a long-term perspective in planning strategies, this study cons...
BACKGROUND: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pediatric mortality worldwide. Echocardiography (echo)...
Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis through their effects on 3D genome folding. Recent adva...