Latest AI and machine learning research in surveillance for healthcare professionals.
Using machine-learning tools to predict individual phenotypes from neuroimaging data is one of the m...
The deployment of machine learning for tasks relevant to complementing standard of care and advancin...
BACKGROUND: Lokomat therapy for gait rehabilitation has become increasingly popular. Most evidence s...
COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide pandemic by the World H...
Nutritional epidemiology employs observational data to discover associations between diet and diseas...
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. ...
Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed...
Coronavirus born COVID-19 disease has spread its roots in the whole world. It is primarily spread by...
Estimating the parameters of mathematical models is a common problem in almost all branches of scien...
Human Activity Recognition is an active research area with several Convolutional Neural Network (CNN...
Monitoring the occurrence of adverse events in the scientific literature is a mandatory process in d...
Coronavirus disease 2019 (COVID-19) is a novel disease that affects healthcare on a global scale and...
The discipline of computer vision is becoming more popular as a research subject. In a surveillance-...
Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will re...
PURPOSE: The use of predictive models in epidemiology is relatively narrow as most of the studies re...
SWIR imaging bears considerable advantages over visible-light (color) and thermal images in certain ...
Although using standardized reports is encouraged, most emergency radiological reports in France rem...
The accuracy of Human Activity Recognition is noticeably affected by the orientation of smartphones ...
Intelligent video surveillance systems are rapidly being introduced to public places. The adoption o...
This paper presents a comprehensive overview of current deep-learning methods for automatic object c...
BACKGROUND: We collected information on patients with rectal adenocarcinoma in the United States fro...