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- Title
Artificial Intelligence: Predicting Perioperative Problems.
- Authors
Harris, Joseph; Matthews, James
- Abstract
The rapidly developing field of artificial intelligence (AI) may soon equip clinicians with algorithms that model and predict perioperative problems with extreme accuracy. Here, we outline emerging AI applications in preoperative risk stratification and intraoperative event prediction, where algorithm performance has been shown to outstrip commonly used conventional risk prediction tools. While offering an enticing view of a novel perioperative practice with superhuman foresight, AI's limited scope and lack of transparency remain key challenges for widespread adoption. As yet it is unclear whether machine learning alone can influence human clinical practice to exert real-world effects on patient outcomes.
- Subjects
RISK assessment; PREDICTION models; ARTIFICIAL intelligence; RESEARCH evaluation; SURGICAL complications; DISEASES; ARTIFICIAL neural networks; MACHINE learning; LENGTH of stay in hospitals; PERIOPERATIVE care; ALGORITHMS
- Publication
British Journal of Hospital Medicine (17508460), 2024, Vol 85, Issue 8, p1
- ISSN
1750-8460
- Publication type
Article
- DOI
10.12968/hmed.2024.0262