Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy

Background and Objectives: Multiple factors are associated with postoperative functional outcomes, such as acute kidney injury (AKI), following partial nephrectomy (PN). The pre-, peri-, and postoperative factors are heavily intertwined and change dynamically, making it difficult to predict postoper...

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Detalles Bibliográficos
Autores principales: Shin, Tae Young, Han, Hyunho, Min, Hyun-Seok, Cho, Hyungjoo, Kim, Seonggyun, Park, Sung Yul, Kim, Hyung Joon, Kim, Jung Hoon, Lee, Yong Seong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456500/
https://www.ncbi.nlm.nih.gov/pubmed/37629692
http://dx.doi.org/10.3390/medicina59081402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456500/
https://www.ncbi.nlm.nih.gov/pubmed/37629692
http://dx.doi.org/10.3390/medicina59081402

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