Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

ABSTRACT:

Purpose

Due to the increasing demand for intensive care unit (ICU) treatment, and to improve quality and efficiency of care, there is a need for adequate and efficient clinical decision-making. The advancement of artificial intelligence (AI) technologies has resulted in the development of prediction models, which might aid clinical decision-making. This systematic review seeks to give a contemporary overview of the current maturity of AI in the ICU, the research methods behind these studies, and the risk of bias in these studies.

Methods

A systematic search was conducted in Embase, Medline, Web of Science Core Collection and Cochrane Central Register of Controlled Trials databases to identify eligible studies. Studies using AI to analyze ICU data were considered eligible. Sp

SUBMITTER: van de Sande D 

PROVIDER: S-EPMC8178026 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature