Latest AI and machine learning research in surveillance for healthcare professionals.
INTRODUCTION: Emergency 9-1-1 incident data are recorded voluntarily within fire-department-specific...
Muscle-Invasive Bladder Cancer (MIBC) is a more aggressive disease than non-muscle-invasive bladder ...
Conventional clinical microbiological techniques are enhanced by the introduction of artificial inte...
Mental health disorders have a high disability-adjusted life years in the Middle East and North Afri...
BACKGROUND: The main purpose of this study is to observe and detect adverse reactions to the combina...
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...
Cholera remains a major global health challenge, disproportionately affecting low-income countries w...
Early-life exposure to endocrine-disrupting chemicals (EDCs) may contribute to small vulnerable newb...
BACKGROUND: Monkeypox, a viral zoonotic disease, is an emerging global health concern, with rising i...
Artificial Intelligence (AI) is transforming Public Health by providing innovative tools to address ...
A standard for reporting genetic pathology results currently does not exist as a consensus. While ef...
Multimodal artificial intelligence (AI) has the potential to revolutionise healthcare by enabling th...
FaciaVox is a multimodal biometric dataset that consists of face images and voice recordings under b...
Almost 40 years after the adoption of the International Code of Marketing of Breast-Milk Substitutes...
Despite current surveillance and sanitation strategies, foodborne pathogens continue to threaten the...
With the rapid advancement of artificial intelligence in health care, large language models (LLMs) ...
OBJECTIVES: Adherence to established reporting guidelines can improve clinical trial reporting stand...
This protocol outlines a systematic review and meta-analysis examining the effectiveness of fully au...
Clonorchis sinensis (C. sinensis) is mainly prevalent in Northeast and South China, with Guangxi bei...
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growi...
BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...