Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nephrology,Pediatrics, Perinatology and Child Health
Link
https://link.springer.com/content/pdf/10.1007/s00467-023-06191-7.pdf
Reference90 articles.
1. Sethi SK, Bunchman T, Chakraborty R, Raina R (2021) Pediatric acute kidney injury: new advances in the last decade. Kidney Res Clin Pract 40:40–51. https://doi.org/10.23876/j.krcp.20.074
2. Kellum JA, Prowle JR (2018) Paradigms of acute kidney injury in the intensive care setting. Nat Rev Nephrol 14:217–230. https://doi.org/10.1038/nrneph.2017.184
3. Meena J, Mathew G, Kumar J, Chanchlani R (2023) Incidence of acute kidney injury in hospitalized children: a meta-analysis. Pediatrics 151:e2022058823. https://doi.org/10.1542/peds.2022-058823
4. Jetton JG, Boohaker LJ, Sethi SK et al (2017) Incidence and outcomes of neonatal acute kidney injury (AWAKEN): a multicentre, multinational, observational cohort study. Lancet Child Adolesc Health 1:184–194. https://doi.org/10.1016/S2352-4642(17)30069-X
5. Starr MC, Charlton JR, Guillet R et al (2021) Advances in neonatal acute kidney injury. Pediatrics 148:e2021051220. https://doi.org/10.1542/peds.2021-051220
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