Pediatrics

Artificial intelligence-assisted detection of epileptic spasms using electroencephalographic-video analysis.

OBJECTIVE: This study was undertaken to develop and validate an artificial intelligence (AI) diagnos...

Artificial Intelligence-Assisted Ultrasound in Austere Trauma Environments: Implications for Role 1 Military Medicine.

Pararescue jumpers are United States Air Force medical tactical operators who provide advanced traum...

KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networks.

Pediatric congenital hydronephrosis (CH) is a common urinary tract disorder, primarily caused by obs...

Single-molecule neuromorphic device with aJ-level power consumption per switching.

Artificial neural network-based machine learning provides foundations for artificial intelligence (A...

RehabMate: an explainable framework for action detection and corrective feedback in pediatric stroke rehabilitation.

Deep learning-assisted otoscopic screening for paediatric otitis media: feasibility of edge deployment.

BACKGROUND: Otitis media is common in children. Otoscopic differentiation of acute otitis media (AOM...

Mobile Imaging-Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study.

BACKGROUND: Assessing dental caries, sealants, and fluorosis is essential for public health surveill...

Attention-Driven Deep Learning for Hydrocephalus: Preliminary Benchmarking of Multiscale 3D Attention Against Conventional 3D CNN Models Using Ventricular Enlargement on CT.

Hydrocephalus is characterized by abnormal cerebrospinal fluid accumulation causing ventricular enla...

From reductionism to complex systems: Paradigm shift and knowledge evolution in competitive sports research using BERTopic.

BACKGROUND AND PURPOSE: With the exponential growth in the volume of competitive sports research, tr...

Tailored Vapor Deposition Unlocks Large-Grain, Wafer-Scale Epitaxial Growth of 2D Magnetic CrCl3.

Two-dimensional magnetic materials (2D-MM) are an exciting playground for fundamental research, and ...

Establishing a Sustainable Artificial Intelligence Center of Excellence for Health Care Systems: Part I-Strategic Frameworks, Infrastructure, and Performance Metrics.

Artificial Intelligence (AI) is rapidly transforming modern health care by enhancing data analysis, ...

Value-added assessment of career planning for vocational competence based on deep learning.

To address the static limitations of current career assessment methods and the lack of a long-term p...

Automated Echocardiographic Detection of Congenital Heart Disease Using Artificial Intelligence.

BACKGROUND: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pedi...

Machine learning-predicted chromatin organization landscape across pediatric tumors.

Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis throu...

Evolutionary Assembly and Future Design of Gibberellin Signaling.

Gibberellin (GA) signaling is widely regarded as a canonical hormone-controlled growth pathway, yet ...

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions tha...

Proteomic profiling and pathway analyses reveal molecular signatures and immune networks in pediatric sepsis.

BACKGROUND: Sepsis remains a leading cause of childhood mortality worldwide. Most deaths occur withi...

PTBD: a machine learning-based non-invasive diagnostic model for pulmonary tuberculosis using large-scale blood transcriptomes.

BACKGROUND: Accurate and rapid diagnosis is essential for controlling pulmonary tuberculosis (PTB) b...

Artificial intelligence and radiomics for pediatric brain tumor classification and molecular characterization: a systematic review.

BACKGROUND: Artificial intelligence (AI) and radiomics are increasingly applied in pediatric neurora...

Enhancing Korean adolescent suicide risk prediction with TabR: A generative AI and explainable retrieval-based deep learning approach.

Adolescent suicide is a growing public health crisis, particularly in South Korea, which has one of ...

Kenyan Neonatal Mortality Risk Predictor: Protocol for a User-Centered Design Evaluation.

BACKGROUND: Neonatal mortality remains a major public health challenge in low- and middle-income cou...