Early detection of sepsis using artificial intelligence: a scoping review protocol.

ABSTRACT:

Background

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk prediction decision support systems based on artificial intelligence.

Methods

The overall aim of this scoping review is to summarize the literature on existing methods for early detection of sepsis using artificial intelligence. The review will be performed using the framework formulated by Arksey and O'Malley and further developed by Levac and colleagues. To identify primary studies and reviews that are suitable to

SUBMITTER: Pepic I 

PROVIDER: S-EPMC7811741 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature