COMPARING AI AND CLINICIANS IN OXYGENATION DEVICE MANAGEMENT FOR SUSPECTED COVID-19 ICU PATIENTS
Critical Care Medicine
; 50:68-68, 2022.
Article
in English
| Academic Search Complete | ID: covidwho-1597494
ABSTRACT
Clinical decision support tools that continuously analyze patient data can assist in improving patient management. We compare the performance of a machine learning model in providing recommendations for oxygenation device management for patients admitted to the ICU with clinician's assessment. B Introduction:
b Deciding the appropriate ventilation regimen is one of the most common and challenging tasks in an Intensive Care Unit (ICU). [Extracted from the article] Copyright of Critical Care Medicine is the property of Lippincott Williams & Wilkins and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
Full text:
Available
Collection:
Databases of international organizations
Database:
Academic Search Complete
Language:
English
Journal:
Critical Care Medicine
Year:
2022
Document Type:
Article
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