Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review.

ABSTRACT: Background: Little is known about the role of artificial intelligence (AI) as a decisive technology in the clinical management of COVID-19 patients. We aimed to systematically review and critically appraise the current evidence on AI applications for COVID-19 in intensive care and emergency settings. Methods: We systematically searched PubMed, Embase, Scopus, CINAHL, IEEE Xplore, and ACM Digital Library databases from inception to 1 October 2020, without language restrictions. We included peer-reviewed original studies that applied AI for COVID-19 patients, healthcare workers, or health systems in intensive care, emergency, or prehospital settings. We assessed predictive modelling studies and critically appraised the methodology and key findings of all other studies. Results: Of fourteen e

SUBMITTER: Chee ML 

PROVIDER: S-EPMC8125462 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature