Latest AI and machine learning research in surveillance for healthcare professionals.
AIMS: Cross-national research on mental health trajectories requires harmonised measures that are va...
PURPOSE: Traditional drug-induced liver injury (DILI) surveillance relying on static laboratory thre...
PURPOSE: To evaluate the diagnostic accuracy, clinical utility, and workflow integration of artifici...
Anterior cruciate ligament (ACL) injuries remain a critical burden in professional football, resulti...
BACKGROUND: Vector-borne diseases (VBDs), such as malaria, dengue, and Zika virus infections, remain...
BACKGROUND: Radiology departments frequently manage large, heterogeneous worklists using first-in, f...
OBJECTIVE: To evaluate the performance and interpretability of multiple ML algorithms for survival p...
The hepatitis C virus is a significant global health concern and a major cause of chronic liver dise...
Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven b...
Potentially toxic elements (PTEs) in soils pose persistent risks to ecosystems, groundwater, and foo...
Early identification of acute myocardial infarction (AMI) remains challenging, particularly in non-S...
BACKGROUND: RETFound, a self-supervised retina-specific foundation model, has shown potential in dow...
BACKGROUND: Machine learning (ML) has emerged as a promising tool for predicting diabetic kidney dis...
BACKGROUND: Aminoglycosides remain clinically valuable against Staphylococcus aureus. Aminoglycoside...
BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative...
Climate change is increasingly disrupting environmental and ecological systems, creating conditions ...
Fungal disease and antifungal resistance are growing, historically underrecognized global threats th...
BACKGROUND: AI is increasingly being integrated into cancer screening, treatment, and patient care. ...
BACKGROUND: Rehabilitation clinical practice guidelines (CPGs) have increased rapidly, but inconsist...
Generative artificial intelligence (GenAI) can perform strongly on written anatomy examinations, but...
Mathematical models play a central role in understanding and forecasting infectious disease dynamics...