Latest AI and machine learning research in surveillance for healthcare professionals.
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...
BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced mag...
Early detection of malignant thyroid nodules is crucial for effective treatment, but traditional dia...
Clonorchis sinensis (C. sinensis) is mainly prevalent in Northeast and South China, with Guangxi bei...
BACKGROUND: While the COVID-19 pandemic has induced massive discussion of available medications on s...
OBJECTIVE: African swine fever (ASF) is a lethal and highly contagious transboundary animal disease ...
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growi...
BACKGROUND: The surge in artificial intelligence (AI) interventions in primary care trials lacks a s...
BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...
The escalating demand for chronic disease management has presented substantial challenges to traditi...
Infectious disease threats to individual and public health are numerous, varied and frequently unexp...
BACKGROUND/OBJECTIVES: This systematic literature review examines the quality of early clinical eval...
Developments in ambulatory electrocardiogram (ECG) technology have led to vast amounts of ECG data t...
The medical community has grappled with the challenge of analysis and early detection of severe and ...
BACKGROUND: In Japan, reporting of medical device malfunctions and related health problems is mandat...
BACKGROUND: Safety signals for potential drug-induced adverse events (AEs) typically emerge from mul...