Efficacy and safety of ureteroscopy in children with lower pole renal stones : a machine learning predictive model from the EAU section of endourology

fURSL is safe and effective in children with LP stones, though incomplete stone clearance remains a challenge. ML models demonstrated strong predictive performance and could support preoperative risk stratification. Further external validation and prospective studies are warranted to refine predictive tools for clinical use.

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Publication Details

Journal
World Journal of Urology
Published
2025-11-20
DOI
https://doi.org/10.1007/s00345-025-06095-1
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Efficacy and safety of ureteroscopy in children with lower pole renal stones : a machine learning predictive model from the EAU section of endourology

Francesco Antomarchi, Boyke Soebhali, Abhishek Singh, Bhaskar Kumar Somani et al.
World Journal of Urology
Kidney Stones and Urolithiasis Treatments
article

Efficacy and safety of ureteroscopy in children with lower pole renal stones : a machine learning predictive model from the EAU section of endourology

Francesco Antomarchi, Boyke Soebhali, Abhishek Singh, Bhaskar Kumar Somani, Vineet Gauhar, Jean K. Lim, Pranay Jaiswal, Frédéric Panthier, Steffi Kar Kei Yuen, Carlotta Nedbal, Hsiang‐Ying Lee, Andrea Gregori, Shilpa Gite, Nitesh Naik, Ratan Maurya, K. T. Kashyap, Yiloren Tanidir, Het Sevalia
article en

Abstract

fURSL is safe and effective in children with LP stones, though incomplete stone clearance remains a challenge. ML models demonstrated strong predictive performance and could support preoperative risk stratification. Further external validation and prospective studies are warranted to refine predictive tools for clinical use.

World Journal of UrologyVol. 43(1)
Marche Polytechnic University (IT), Centre National de la Recherche Scientifique (FR), Kaohsiung Medical University (TW), Manipal Academy of Higher Education (IN), Chinese University of Hong Kong (HK), ParisTech (FR), Arts et Métiers (FR), Singapore General Hospital (SG), Symbiosis International University (IN), Muljibhai Patel Urological Hospital (IN), European Association of Urology (NL), Ng Teng Fong General Hospital (SG), University Hospital Southampton NHS Foundation Trust (GB), Sorbonne Université (FR), Azienda Ospedaliera San Gerardo (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Hôpital Tenon (FR), Mulawarman University (ID), Marmara University (TR)
Università Politecnica delle Marche
Openalex Percentile: Top 49%
Kidney Stones and Urolithiasis Treatments
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