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A nomogram for predicting renal function recovery after robotic-assisted ureteral reconstruction: development and comparative validation using traditional and machine learning models

Crossref DOI link: https://doi.org/10.1007/s11701-025-02979-x

Published Online: 2025-11-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xu, Mu-Yang

Gong, Bin-Bin

Yu He,

Ji, Guang-Jie

Song, Zheng-Yao

Liang, Chao-Zhao
Funding

Funding for this research was provided by:

Outstanding Scientific Research and Innovation Team for Male Genitourinary Diseases in Anhui Provincial Universities (2022AH010071)
License Information

Text and Data Mining valid from 2025-11-25

Version of Record valid from 2025-11-25
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Article History

Received: 18 October 2025

Accepted: 7 November 2025

First Online: 25 November 2025

Declarations

:

: The authors declare no competing interests.

: All patients gave written informed consent for using clinical data in the study in accordance with the Declaration of Helsinki. The study has been approved by the Ethics Committee of the First Affiliated Hospital of Anhui Medical University (PJ2024-09-86).

: Informed consent was obtained from all participants involved in the study.

: Informed consent was obtained from all participants for publication of the research findings.

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