Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
BACKGROUND/OBJECTIVES: This systematic literature review examines the quality of early clinical eval...
Recent advances in the design of convolutional neural networks have shown that performance can be en...
Developments in ambulatory electrocardiogram (ECG) technology have led to vast amounts of ECG data t...
The medical community has grappled with the challenge of analysis and early detection of severe and ...
The built environment exerts a significant influence on the frequency and severity of traffic accide...
BACKGROUND: Safety signals for potential drug-induced adverse events (AEs) typically emerge from mul...
Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous conc...
Single-cell RNA sequencing (scRNA-seq) has revolutionized the field of cellular diversity research. ...
Pan-sharpening is a widely employed technique for enhancing the quality and accuracy of remote sensi...
Motivated by the need of rapid detection of living microalgae cells in ship ballast water, this stud...
BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcificatio...
The high volume of emergency room patients often necessitates head CT examinations to rule out ische...
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language ta...
Multi-view graph refining-based clustering (MGRC) methods aim to facilitate the clustering of data v...
BACKGROUND: Many chemical releases are first noticed by community members, but reporting these conce...
Multi-view classification integrates features from different views to optimize classification perfor...
Graph neural networks (GNNs) have shown great promise in modeling graph-structured data, but the ove...
PURPOSE: HER2 expression is crucial for the application of HER2-targeted antibody-drug conjugates. T...
Identifying antioxidant phenolic compounds (APs) in food plays a crucial role in understanding their...
BACKGROUND: Antiphospholipid Syndrome (APS) is a systemic autoimmune disorder characterized by arter...
Electron microscopy (EM) image denoising is critical for visualization and subsequent analysis. Desp...