Machine learning analysis of CT images for the prediction of extracorporeal shock wave lithotripsy efficacy
Yuanchao Cao,
Hang Yuan,
Yi Qiao
et al.
Abstract:Objective
The study aimed to evaluate the use decision support analysis for the prediction of extracorporeal shock wave lithotripsy (ESWL) efficacy and to analyze the factors influencing outcomes in patients who underwent ESWL using machine learning (ML) methods.
Methods
This retrospective study analyzed the clinical data, including preoperative CT images, of 302 patients who received a single ESWL session treatment for urinary tract stone (UTS) between May and October 2022 in the Department of Urology. The … Show more
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