Latest AI and machine learning research in surveillance for healthcare professionals.
Identifying populations of heart failure (HF) patients is paramount to research efforts aimed at dev...
BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be us...
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark....
For specific purpose, vision-based surveillance robot that can be run autonomously and able to acqui...
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction mo...
The global movement of people and goods has increased the risk of biosecurity threats and their pote...
(Quantitative) structure activity relationship [(Q)SAR] modeling is the primary tool used to evaluat...
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adv...
We introduce HumanCentric-Scenes-AI, a human-curated dataset of 296 AI-generated stimuli that depict...
Vision-language models (VLMs) are asked to report what they see: to count objects, box them, parse a...
Importance: Coccidioidomycosis, also known as Valley fever, is a serious fungal disease caused by in...
Objectives: To assess the feasibility and early performance of an AI-assisted screening workflow tha...
A common practice in instance retrieval is to grow the gallery size to improve a benchmark's discrim...
Background: Surveillance tells laboratories which antimicrobial resistance genes are circulating now...
The unmanned aerial vehicle (UAV)-based maritime surveillance is becoming an important part of marit...
International travel can increase infection risk and spread antimicrobial resistance (AMR), yet clin...
The efficacy of traditional disease prediction is limited by spatial gaps and temporal lags, which i...
Biomedical Machine Learning (ML) is increasingly evaluated through Independent and Identically Distr...
Background: Pulsed field ablation (PFA) has been rapidly adopted for atrial fibrillation (AF) on the...
Model validation estimates the performance of a complete learning procedure on new data. However, an...
Background. Chest radiographs (CXRs) are the most common imaging exam performed, but CXR reports can...