Literature DB >> 34903359

Is artificial intelligence ready to solve mechanical ventilation? Computer says blow.

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.
Copyright © 2021 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.

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


  2 in total

1.  A bibliometric analysis of the application of artificial intelligence to advance individualized diagnosis and treatment of critical illness.

Authors:  Yang-Xi Liu; Cheng Zhu; Zhi-Xiong Wu; Liang-Jing Lu; Yue-Tian Yu
Journal:  Ann Transl Med       Date:  2022-08

2.  Data science in the intensive care unit.

Authors:  Ming-Hao Luo; Dan-Lei Huang; Jing-Chao Luo; Ying Su; Jia-Kun Li; Guo-Wei Tu; Zhe Luo
Journal:  World J Crit Care Med       Date:  2022-09-09
  2 in total

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