Perioperative medicine & outcomes
Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools
Authors' conclusion
This systematic review indicates that application of machine learning in perioperative medicine is still at an early stage.
Study context
- Population
- Studies of machine learning tools for prediction of complications and prognostication in perioperative medicine
- Participants
- 103 studies
- Outcome
- Validation and performance of machine learning models
Methodological detailsPRISMA, PROBAST risk-of-bias assessment, multidisciplinary team
- PRISMA
- PROBAST risk-of-bias assessment
- Multidisciplinary team
Pooled result
As reported in the abstract
Single-center validations
75%
Externally validated across multiple centers
13%
Original publication
Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools. Anesthesiology. Published 9 November 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →