Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could ...
The global movement of people and goods has increased the risk of biosecurity threats and their pote...
Accurate incidence forecasting of infectious disease provides potentially valuable insights in its o...
The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes kno...
OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after ...
OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak...
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of t...
Childhood diarrheal disease remains a leading cause of morbidity and mortality among children under ...
Identifying the origin of an emerging epidemic wave within days of onset could enable targeted respo...
Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. Ho...
Background: Accurate estimation of childhood diarrheal disease burden in Africa remains challenging ...
Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adve...
Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in ...
Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...
Background: Non-communicable diseases (NCDs) represent a critical public health challenge in Kenya, ...
Andes orthohantavirus (ANDV), the primary etiological agent of hantavirus pulmonary syndrome (HPS) i...
Background. Mosquito-borne diseases transmitted by Aedes aegypti and Aedes albopictus, including den...
Objectives: Diabetes affects over 500 million people globally and glycemia is inadequately managed. ...
Artificial intelligence and machine learning for computer vision (CV) and image recognition is a rap...
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond p...
Background: Identifying the geographic origin of epidemic waves early is critical for targeted publi...