Latest AI and machine learning research in surveillance for healthcare professionals.
Significant technical advances have been made in radiology since the first discovery of X-rays. Diag...
Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to...
Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innova...
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated inf...
Quality reporting that relies on coded administrative data alone may not completely and accurately d...
Non-invasive and fast diagnostic tools based on volatolomics hold great promise in the control of in...
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Now...
The use of artificial intelligence in medicine is currently an issue of great interest, especially w...
BACKGROUND: Although the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation has be...
INTRODUCTION: The implementation of the Hib conjugate vaccine in the United Kingdom in 1992 resulted...
Between 1 September and 15 November 2017, 48 A(H5N8) highly pathogenic avian influenza (HPAI) outbre...
Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, p...
ABSTRACTSocially assistive robots have successfully been trialed in residential care facilities (RCF...
Molecular typing techniques are key tools in surveillance of food spoilage yeasts, in investigations...
BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasi...
Tracing the use of computers in the radiology department from administrative functions through image...
Various surveillance systems capture signs of human activities of daily living (ADLs) and store mult...
Escape and surveillance responses to predators are lateralized in several vertebrate species. Howeve...
Outcomes for cancer patients have been previously estimated by applying various machine learning tec...
We utilize deep neural networks to develop prediction models for patient survival and conditional su...
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential...