Artificial intelligence predicts delirium following cardiac surgery: A case study - 13/11/21
, Nikolai Hulde, Dr. med. a
, Maria G. Preising a
, Silvia Ruggeri a
, Ralph Szymanowski b
, Laurent Meesseman, Dr. med. b
, Hong Sun, PhD b
, Vera von Dossow, Prof. Dr. med. a 
Abstract |
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.
Le texte complet de cet article est disponible en PDF.Highlights |
• | 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. |
Keywords : Delirium, Artificial intelligence, Cardiac surgery, Frailty, Risk stratification
Plan
Vol 75
Article 110473- décembre 2021 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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