| Literature DB >> 34903359 |
Dominic C Marshall1, Matthieu Komorowski2.
Abstract
Artificial intelligence (AI) has the potential to identify treatable phenotypes, optimise ventilation strategies, and provide clinical decision support for patients who require mechanical ventilation. Gallifant and colleagues performed a systematic review to identify studies using AI to solve a diverse range of clinical problems in the ventilated patient. They identify 95 studies, the majority of which were reported in the last 5 yr. Their findings indicate that the majority of studies have significant methodological bias and are a long way from deployment.Entities:
Keywords: acute respiratory distress syndrome; artificial intelligence; critical care; machine learning; mechanical ventilation
Mesh:
Year: 2021 PMID: 34903359 DOI: 10.1016/j.bja.2021.10.050
Source DB: PubMed Journal: Br J Anaesth ISSN: 0007-0912 Impact factor: 9.166