Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
BACKGROUND: Inherited PLN (phospholamban) R14del variants cause dilated cardiomyopathy with a high b...
OBJECTIVE: To argue that diagnostic and predictive AI should be evaluated by both classification per...
INTRODUCTION: Trigger tool methodologies have become important approaches for detecting adverse even...
Image quantification is central to modern biomedical research. However, the reproducibility of image...
BACKGROUND: Accurate reporting in nuclear medicine is essential for clinical decision-making. Traine...
Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly ...
BACKGROUND: Machine learning (ML), deep learning (DL) and other predictive modelling approaches are ...
The key challenge in traffic flow prediction lies in modeling complex spatio-temporal dependencies e...
The recent rapid development of mobile and wearable sensing technologies and computational modeling ...
Radiomics applied to two-dimensional breast ultrasound has emerged as a potential noninvasive approa...
Deep learning (DL) is increasingly applied to automate brain tumor classification from magnetic reso...
While data assets are increasingly recognized as strategic resources in the digital economy, their i...
Employee turnover prediction is a critical challenge in human resource management. Existing studies ...
BACKGROUND: Artificial intelligence (AI) holds considerable promise for strengthening sexual, reprod...
Active surveillance (AS) is widely used for men with low-risk and selected favorable intermediate-ri...
PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating...
OBJECTIVE: To benchmark zero-shot generative pre-trained transformer (GPT)-based multimodal large la...
PURPOSE: To evaluate whether semiquantitative striatal [¹²³I]FP-CIT SPECT-derived metrics improve cl...
OBJECTIVE: Electroencephalography (EEG) source localization is an ill-posed inverse problem in which...
BACKGROUND: Artificial intelligence (AI), particularly generative AI and large language models, is i...
Muscle injuries account for approximately 31% of all time-loss injuries in professional football, ye...