Prediction of spontaneous distal ureteral stone passage using artificial intelligence
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11255-024-03955-4.pdf
Reference30 articles.
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3. Yoshida T et al (2019) Ureteral wall thickness as a significant factor in predicting spontaneous passage of ureteral stones of≤ 10 mm: a preliminary report. World J Urol 37:913–919
4. Yallappa S et al (2018) Natural history of conservatively managed ureteral stones: analysis of 6600 patients. J Endourol 32(5):371–379
5. Lane J et al (2020) Correlation of operative time with outcomes of ureteroscopy and stone treatment: a systematic review of literature. Curr Urol Rep 21(4):17
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