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

Abstract Background Radiomics and artificial intelligence have shown strong predictive capabilities in urinary stone research, particularly concerning stone composition, characteristics, and treatment outcomes. However, the association of stone radiomics and recurrence has not been well studied. Thi...

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Egile Nagusiak:	Yongxia Lei, Jian Zhong, Chu Ann Chai, Tao Chen, Zhiping Lin, Xilai Chen, Guangyuan Zhang, Gengjia Chen, Qi Wan, Zhifa Wu, Wei Zhu, Xinchun Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	BMC 2025-11-01
Saila:	BMC Medical Imaging
Gaiak:	Kidney stones Recurrence Radiomics Nomogram Machine learning
Sarrera elektronikoa:	https://doi.org/10.1186/s12880-025-02043-y
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