Is artificial intelligence ready to solve mechanical ventilation? Computer says blow. (February 2022)
- Record Type:
- Journal Article
- Title:
- Is artificial intelligence ready to solve mechanical ventilation? Computer says blow. (February 2022)
- Main Title:
- Is artificial intelligence ready to solve mechanical ventilation? Computer says blow
- Authors:
- Marshall, Dominic C.
Komorowski, Matthieu - Abstract:
- Summary: 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.
- Is Part Of:
- British journal of anaesthesia. Volume 128:Number 2(2022)
- Journal:
- British journal of anaesthesia
- Issue:
- Volume 128:Number 2(2022)
- Issue Display:
- Volume 128, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 128
- Issue:
- 2
- Issue Sort Value:
- 2022-0128-0002-0000
- Page Start:
- 231
- Page End:
- 233
- Publication Date:
- 2022-02
- Subjects:
- acute respiratory distress syndrome -- artificial intelligence -- critical care -- machine learning -- mechanical ventilation
Anesthesiology -- Periodicals
Anesthesia -- Periodicals
617.9605 - Journal URLs:
- http://bja.oupjournals.org ↗
http://bja.oxfordjournals.org ↗
https://www.journals.elsevier.com/british-journal-of-anaesthesia ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1016/j.bja.2021.10.050 ↗
- Languages:
- English
- ISSNs:
- 0007-0912
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2303.900000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20344.xml