Latest AI and machine learning research in surveillance for healthcare professionals.
Prostate multi-parametric magnetic resonance imaging (mpMRI) has shown excellent sensitivity for Gle...
BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impo...
The tailless flapping-wing micro air vehicle (FW-MAV) is one of the most challenging problems in fla...
We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and...
BACKGROUND: Artificial intelligence (AI) is revolutionizing our world, with applications ranging fro...
Recognition of human actions form videos has been an active area of research because it has applicat...
BACKGROUND: Electronic health records (EHRs) bring many opportunities for information utilization. O...
Machine learning has become an increasingly powerful tool for solving complex problems, and its appl...
To exploit the full potential of big routine data in healthcare and to efficiently communicate and c...
BACKGROUND: Since the beginning of the 21st century, the amount of data obtained from public health ...
PURPOSE: To use a natural language processing and machine learning algorithm to evaluate inter-radio...
The importance of social components of health has been emphasized both in epidemiology and public he...
Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an aller...
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...
In the current field of human recognition, most of the research being performed currently is focused...
Over a three-month period in early 2017, the Hennepin County Medical Examiner's Office investigated ...
Prognostic modelling is important in clinical practice and epidemiology for patient management and r...
OBJECTIVES: To introduce and summarize current research in the field of Public Health and Epidemiol...
With the era of big data, the utilization of machine learning algorithms in radiation oncology is ra...
Anthelmintic resistance among cyathostomin parasites is a wide-spread problem. The parasite control ...