Latest AI and machine learning research in surveillance for healthcare professionals.
The growing interest in deep learning approaches to video surveillance raises concerns about the acc...
INTRODUCTION: The Transparent Reporting of a multivariable prediction model of Individual Prognosis ...
Due to the prevalence of globalization and the surge in people's traffic, diseases are spreading mor...
Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of bra...
Shipping makes up the major proportion of global transportation and results in an increasing emissio...
There has been an exponential rise in artificial intelligence (AI) research in imaging in recent yea...
Bovine mastitis is one of the most important economic and health issues in dairy farms. Data collect...
OBJECTIVE: Evaluate the completeness of reporting of prognostic prediction models developed using ma...
INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve ...
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can bene...
Artificial Intelligence can be leveraged to analyze great amounts of data. It can be used on images ...
Emotion is a form of high-level paralinguistic information that is intrinsically conveyed by human s...
In many complex, real-world situations, problem solving and decision making require effective reason...
INTRODUCTION: Substandard medicines are medicines that fail to meet their quality standards and/or s...
Background and purpose - Advancements in software and hardware have enabled the rise of clinical pre...
Surveillance cameras are being installed in many primary daily living places to maintain public safe...
BACKGROUND: The objective of this study was to develop a portal natural language processing approach...
cardiovascular complications (CVC) are the leading cause of death in patients with chronic kidney d...
Reporting guidelines are structured tools developed using explicit methodology that specify the mini...
As many as 40% to 50% of patients do not adhere to long-term medications for managing chronic condit...