Latest AI and machine learning research in surveillance for healthcare professionals.
Classical (crisp) graph models fail to capture uncertainty inherent in real-world networks, whereas ...
Safety helmet compliance monitoring remains challenging because helmets often occupy only a few pixe...
Accurate forecasting of infectious disease cases and deaths is crucial for public health decision-ma...
BACKGROUND AND OBJECTIVES: Metabolic syndrome (MetS) is defined by binary thresholds on waist circum...
Label-free surface-enhanced Raman spectroscopy (SERS) combined with machine learning (ML) provides a...
The recent rapid development of mobile and wearable sensing technologies and computational modeling ...
Antimicrobial resistance (AMR) is increasingly recognised as a One Health challenge in which environ...
Deep learning (DL) is increasingly applied to automate brain tumor classification from magnetic reso...
Transfusion medicine has practiced a form of precision medicine for decades through compatibility te...
INTRODUCTION: The management of rectal adenocarcinoma requires navigation of complex, branching guid...
Active surveillance (AS) is widely used for men with low-risk and selected favorable intermediate-ri...
Cronobacter sakazakii is an opportunistic foodborne pathogen associated with severe infections in in...
PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating...
BACKGROUND: Post-progression survival (PPS) is a critical endpoint in oncology, yet predictors of PP...
INTRODUCTION: Gout is a common metabolic inflammatory disorder whose incidence parallels modern diet...
OBJECTIVE: To benchmark zero-shot generative pre-trained transformer (GPT)-based multimodal large la...
Liver cancer remains a major global health burden, with hepatocellular carcinoma (HCC) and intrahepa...
BACKGROUND: Perceived trustworthiness of research may be influenced by factors beyond the risk of bi...
PROBLEM: Inequities in educational infrastructure, faculty availability, and access to continuing pr...
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...