Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
OBJECTIVES: Adherence to established reporting guidelines can improve clinical trial reporting stand...
BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced mag...
In response to the growing complexity of network threats, researchers are increasingly turning to ma...
R language has gained traction in laboratory medicine for its statistical power and dynamic tools li...
Single-cell multiomics clustering integrates multiple omics data to analyze cellular heterogeneity a...
A thorough understanding of cell-line drug response mechanisms is crucial for drug development, repu...
This article proposes a method called DenseNet 121-Mask R-CNN (DN-MRCNN) for the detection and segme...
BACKGROUND: Metabolic diseases (MDs), exemplified by diabetes, hypertension, and dyslipidemia, have ...
OBJECTIVE: African swine fever (ASF) is a lethal and highly contagious transboundary animal disease ...
BACKGROUND: The surge in artificial intelligence (AI) interventions in primary care trials lacks a s...
BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...
Prediction of outcomes in perioperative medicine is key to decision-making and various prediction mo...
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...
The CONSORT 2010 statement is a guideline that provides an evidence-based checklist of minimum repor...
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. ...