Latest AI and machine learning research in public health for healthcare professionals.
Assessing the well-being of an animal is hindered by the limitations of efficient communication betw...
BACKGROUND: The recent global outbreak of coronavirus disease (COVID-19) is affecting many countries...
Artificial intelligence may improve value in colonoscopy-based colorectal screening and surveillance...
Seasonal influenza viruses are constantly changing and produce a different set of circulating strain...
Recently, significant attention has been devoted to vaccine-derived poliovirus (VDPV) surveillance d...
The novel coronavirus (COVID-19) outbreak, which was identified in late 2019, requires special atten...
BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). ...
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising fr...
Chronic diseases represent a serious threat to public health across the world. It is estimated at ab...
BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the post...
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underre...
We propose the use of a machine learning algorithm to improve possible COVID-19 case identification ...
Suicide is the tenth leading cause of death in the United States (US). An early-warning system (EWS)...
BACKGROUND: Vitamin B deficiency is common worldwide and may lead to psychiatric symptoms; however, ...
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter me...
The use of natural language data for animal population surveillance represents a valuable opportunit...
Dengue fever (DF) is one of the most rapidly spreading diseases in the world, and accurate forecasts...
Pediatric robot-assisted surgery (RAS) is gaining increasing acceptance. We aimed to assess the dif...
PURPOSE: Identification of patients for epidemiologic research through administrative coding has imp...
Identification of neoantigens is a critical step in predicting response to checkpoint blockade thera...
BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve resp...