Latest AI and machine learning research in surveillance for healthcare professionals.
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...
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...
Anthelmintic resistance among cyathostomin parasites is a wide-spread problem. The parasite control ...
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. ...
Infectious disease occurs when a person is infected by a pathogen from another person or an animal. ...
The safety of medication use has been a priority in the United States since the late 1930s. Recently...
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GP...
Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which ...
Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial ...
Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing techno...
Radiological reporting generates a large amount of free-text clinical narratives, a potentially valu...
Statistical methods are usually applied in examining diet-disease associations, whereas factor analy...
As populations continue to age worldwide, the impact of sarcopenia on public health will continue to...