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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Autors principals:	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
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-11-01
Col·lecció:	BMC Medical Imaging
Matèries:	Kidney stones Recurrence Radiomics Nomogram Machine learning
Accés en línia:	https://doi.org/10.1186/s12880-025-02043-y
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