Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Standardized clinical pathways are useful tool to reduce variation in clinical management and may im...
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting sys...
Low-rank representation (LRR) has aroused much attention in the community of data mining. However, i...
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. ...
Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however...
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation o...
Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing techno...
Significant technical advances have been made in radiology since the first discovery of X-rays. Diag...
BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subje...
Understanding genetic mechanism of complex diseases is a serious challenge. Existing methods often n...
Quality reporting that relies on coded administrative data alone may not completely and accurately d...
BACKGROUND: Creation and use of ontologies has become a mainstream activity in many disciplines, in ...
The hippocampus is a highly stress susceptible structure and hippocampal abnormalities have been rep...
Air pollutant concentration forecasting is an effective method of protecting public health by provid...
With the rapid development of modern medical imaging technology, medical image classification has be...
The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of th...
OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug r...