Pre-operatively predicting kidney stone recurrence: integrating radiomic features and clinical variables using machine learning

Authors

Guangyuan Zhang (ORCID: https://orcid.org/0009-0009-1728-770X)
Chu Ann Chai (ORCID: https://orcid.org/0000-0001-8915-3617)
Gengjia Chen (ORCID: https://orcid.org/0009-0005-7024-3598)
Tao Chen (ORCID: https://orcid.org/0000-0002-3941-1603)
Xiang Chen (ORCID: https://orcid.org/0000-0002-8832-4012)
Qi Wan (ORCID: https://orcid.org/0000-0003-4222-2894)
Wei Zhu (ORCID: https://orcid.org/0000-0002-1801-7367)
Xinchun Li (ORCID: https://orcid.org/0000-0002-2869-6244)
Zhifa Wu
Yongxia Lei
Zhiping Lin
Jian Zhong (ORCID: https://orcid.org/0009-0006-9449-4794)

Institutions

University Malaya Medical Centre (MY)
First Affiliated Hospital of Guangzhou Medical University (CN)
Zhongda Hospital Southeast University (CN)
Guangzhou Medical University (CN)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-11-25
DOI: https://doi.org/10.1186/s12880-025-02043-y
Primary Topic: Kidney Stones and Urolithiasis Treatments
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Guangzhou Medical University

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article

Pre-operatively predicting kidney stone recurrence: integrating radiomic features and clinical variables using machine learning

Guangyuan Zhang, Chu Ann Chai, Gengjia Chen, Tao Chen et al.

Nov 25, 2025

BMC Medical Imaging

Kidney Stones and Urolithiasis Treatments

article

Pre-operatively predicting kidney stone recurrence: integrating radiomic features and clinical variables using machine learning

Guangyuan Zhang, Chu Ann Chai, Gengjia Chen, Tao Chen, Xiang Chen, Qi Wan, Wei Zhu, Xinchun Li, Zhifa Wu, Yongxia Lei, Zhiping Lin, Jian Zhong

November 25, 2025article en

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 25(1)

University Malaya Medical Centre (MY), First Affiliated Hospital of Guangzhou Medical University (CN), Zhongda Hospital Southeast University (CN), Guangzhou Medical University (CN)

Guangzhou Medical University

Openalex Percentile: Top 48%

Kidney Stones and Urolithiasis Treatments

DOI Open Access PDF OpenAlex

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Pre-operatively predicting kidney stone recurrence: integrating radiomic features and clinical variables using machine learning — Guangyuan Zhang, Chu Ann Chai, et al. · BMC Medical Imaging (2025) | TGRS Research Map | TGRS