Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy

Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy

Abstract Background Acute kidney injury (AKI) is independently associated with morbidity and mortality in a wide range of surgical settings. Nowadays, with the increasing use of electronic health records (EHR), advances in patient information retrieval, and cost reduction in clinical informatics, ar...

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Bibliographic Details
Main Authors: Hanfei Zhang, Amanda Y. Wang, Shukun Wu, Johnathan Ngo, Yunlin Feng, Xin He, Yingfeng Zhang, Xingwei Wu, Daqing Hong
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Nephrology
Subjects:
Artificial intelligence
Machine learning
Acute kidney injury
Acute kidney failure
Perioperative period
Online Access:https://doi.org/10.1186/s12882-022-03025-w

Internet

https://doi.org/10.1186/s12882-022-03025-w

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