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Artificial intelligence-based prediction of postoperative sepsis in patients undergoing suction mini-percutaneous nephrolithotomy in real world practice: a multicenter analysis from the global Suction Lechnology Utility in Mini-PCNL Study (STUMPS) registry

Crossref DOI link: https://doi.org/10.1007/s00345-026-06262-y

Published Online: 2026-02-15

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

Authors

Tefik, T.

Ergul, R. B.

Ozervarli, M. F.

Castellani, D.

Lim, E. J.

Yuen, S. K. K.

Nedbal, C.

Herrmann, T. R. W.

Somani, B. K.

Gauhar, V. https://orcid.org/0000-0002-3740-7141
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Text and Data Mining valid from 2026-02-15

Version of Record valid from 2026-02-15
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Article History

Received: 26 December 2025

Accepted: 2 February 2026

First Online: 15 February 2026

Declarations

:

: The authors declare no competing interests.

: Institutional board review approval was obtained by the leading center (Asian Institute of Nephro-Urology, AINU #01/2024) and the remaining centers had approvals from their Institutional board.

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