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Artificial intelligence predicts delirium following cardiac surgery: A case study
Janis Fliegenschmidt1, Nikolai Hulde1, Maria G Preising1
1Institute of Anesthesiology and Pain Therapy, Heart and Diabetes Center Bad Oeynhausen, NRW, Ruhr-University Bochum, Georgstraße 11, 32545, NRW, Germany.
Journal of Clinical Anesthesia
|August 1, 2021
Summary
An artificial intelligence tool effectively monitors for delirium in cardiac surgery patients, improving detection of this common yet often overlooked complication. This AI approach shows promise for enhancing patient care, especially in settings with limited screening resources.
Area of Science:
- Medical Informatics
- Surgical Complications
- Neuroscience
Background:
- Delirium is a frequent and significant complication following surgical procedures.
- Despite increased awareness, delirium in surgical patients remains underrecognized and underdiagnosed.
- Effective monitoring is crucial for timely intervention and improved patient outcomes.
