Latest AI and machine learning research in surveillance for healthcare professionals.
Intraductal papillary mucinous neoplasm (IPMN) is a well-established precursor to pancreatic cancer;...
Artificial intelligence (AI) is increasingly applied to bioink formulation and bioprinting process c...
This dual-center study evaluated the impact of artificial intelligence (AI) on urine culture turnaro...
BACKGROUND: Ovarian cancer (OC) is a highly fatal gynecologic malignancy with complex management cha...
Machine learning models that predict hospital admission at triage may support patient flow forecasti...
BACKGROUND: Identifying transmission hotspots associated with micro-clustering patterns at the early...
Colorectal cancer (CRC) remains a leading cause of cancer-related morbidity and mortality worldwide ...
Tight glycemic control reduces acute complications (hypoglycemia, hyperglycemia) and long-term micro...
Artificial intelligence (AI) is rapidly reshaping modern medicine, with expanding applications in va...
Anaplastic thyroid cancer (ATC) is a rare, aggressive malignancy with poor prognosis. Adherence to g...
CONTEXT: The accurate identification of febrile infants who are at risk for invasive bacterial infec...
BACKGROUND AND AIM: The world witnessed COVID-19 in 2025 yet again, a resurgence driven by LF.7 and ...
BACKGROUND: Traditional surveillance systems often struggle with the volatility of weekly case data,...
Anthropogenic landscape transformations are fundamentally reshaping the epidemiology of vector-borne...
BACKGROUND: Two provisions of the EU Artificial Intelligence Act (Regulation (EU) 2024/1689) now rea...
BACKGROUND: Accurate short-term influenza forecasting is important for early warning and public heal...
Estimating, understanding, and communicating uncertainty is fundamental to statistical epidemiology,...
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...
RATIONALE: Resource-limited or austere environments represent a direct threat to the likelihood of s...
BACKGROUND: Machine learning (ML), deep learning (DL) and other predictive modelling approaches are ...