An interpretable machine learning model for preoperative risk stratification of testicular viability in pediatric testicular torsion: A multicenter study

Hang Wu; Xiao Pu; Nannan Gu; Xiaojing Zhu; Ye Lu; Jinlong Yang; Haobo Zhu

doi:10.1038/s41598-026-64346-6

An interpretable machine learning model for preoperative risk stratification of testicular viability in pediatric testicular torsion: A multicenter study

H Hang Wu X Xiao Pu N Nannan Gu X Xiaojing Zhu (Laboratory of Tropical Veterinary Medicine and Vector Biology, School of Life and Health Sciences, Hainan Province Key Laboratory of One Health, Collaborative Innovation Center of One Health, Hainan University) Y Ye Lu J Jinlong Yang (State Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, and Collaborative Innovation Center of Chemistry for Energy Materials (iChEM)) H Haobo Zhu

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 1, Issue 1

Published July 30, 2026

DOI 10.1038/s41598-026-64346-6

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (7)

H

Hang Wu

X

Xiao Pu

N

Nannan Gu

X

Xiaojing Zhu

Laboratory of Tropical Veterinary Medicine and Vector Biology, School of Life and Health Sciences, Hainan Province Key Laboratory of One Health, Collaborative Innovation Center of One Health, Hainan University

Y

Ye Lu

J

Jinlong Yang

State Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, and Collaborative Innovation Center of Chemistry for Energy Materials (iChEM)

H

Haobo Zhu

An interpretable machine learning model for preoperative risk stratification of testicular viability in pediatric testicular torsion: A multicenter study

Article Details

Journal Info

Authors (7)

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