Artificial intelligence predicts delirium following cardiac surgery: A case study
Delirium is a highly relevant complication of surgical interventions. Current research indicates that despite increased awareness for delirium, it is often overlooked. We implemented an AI-based tool to monitor delirium in cardiac surgery patients in our specialist clinic. This appears to be a promi...
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Published in | Journal of clinical anesthesia Vol. 75; p. 110473 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.12.2021
Elsevier Limited |
Subjects | |
Online Access | Get full text |
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Summary: | Delirium is a highly relevant complication of surgical interventions. Current research indicates that despite increased awareness for delirium, it is often overlooked. We implemented an AI-based tool to monitor delirium in cardiac surgery patients in our specialist clinic. This appears to be a promising approach to improve detection of delirium, especially for underrecognized forms and in peripheral wards without intensive screening. We present a case in which the AI identified delirium, confirmed by our routine screening and specialist evaluation.
•Artificial intelligence can continuously evaluate all EHR information.•Automatic screening can beneficially direct clinician attention.•Artificial intelligence improves delirium screening in peripheral wards.•Using AI to predict events in real time provides clinical applicability. |
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Bibliography: | ObjectType-Case Study-2 SourceType-Scholarly Journals-1 ObjectType-Feature-4 content type line 23 ObjectType-Report-1 ObjectType-Article-3 |
ISSN: | 0952-8180 1873-4529 |
DOI: | 10.1016/j.jclinane.2021.110473 |