The role of artificial intelligence in sepsis in the Emergency Department: a narrative review.

ABSTRACT:

Background and objective

Early recognition and treatment of sepsis in the emergency department (ED) is important. Traditional predictive analytics and clinical decision rules lack accuracy in identifying patients with sepsis. Artificial intelligence (AI) is increasingly prevalent in healthcare and offers application potential in the care of patients with sepsis. This review examines the evidence of AI in diagnosing, managing and prognosticating sepsis in the ED.

Methods

We performed literature search in PubMed, Embase, Google Scholar and Scopus databases for studies published between 1 January 2010 and 30 June 2024 that evaluated the use of AI in adult patients with sepsis in ED, using the following search terms: ("artificial intelligence" OR "machine learning" OR "neural ne

SUBMITTER: Chua MT 

PROVIDER: S-EPMC11921180 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature