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

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, artificial...

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Detalles Bibliográficos
Autores principales: Zhang, Hanfei, Wang, Amanda Y., Wu, Shukun, Ngo, Johnathan, Feng, Yunlin, He, Xin, Zhang, Yingfeng, Wu, Xingwei, Hong, Daqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761969/
https://www.ncbi.nlm.nih.gov/pubmed/36536317
http://dx.doi.org/10.1186/s12882-022-03025-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761969/
https://www.ncbi.nlm.nih.gov/pubmed/36536317
http://dx.doi.org/10.1186/s12882-022-03025-w

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