Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible Ureteroscopy-an EAU section of endourology study
- DOI
- 10.1007/s00345-025-05798-9
- Published
- 2025-07-06
- Container
- World Journal of Urology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00345-025-05798-9,
title = {Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible Ureteroscopy-an EAU section of endourology study},
author = {Frédéric Panthier and Daron Smith and Olivier Traxer and Daniele Castellani and Steffi Yuen and Bhaskar Somani and Vineet Gauhar},
year = {2025},
journal = {World Journal of Urology},
doi = {10.1007/s00345-025-05798-9},
url = {https://doi.org/10.1007/s00345-025-05798-9}
}RIS
TY - JOUR TI - Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible Ureteroscopy-an EAU section of endourology study AU - Frédéric Panthier AU - Daron Smith AU - Olivier Traxer AU - Daniele Castellani AU - Steffi Yuen AU - Bhaskar Somani AU - Vineet Gauhar PY - 2025 JO - World Journal of Urology DO - 10.1007/s00345-025-05798-9 UR - https://doi.org/10.1007/s00345-025-05798-9 ER -
APA
Panthier, F., Smith, D., Traxer, O., Castellani, D., Yuen, S., Somani, B., & Gauhar, V. (2025). Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible Ureteroscopy-an EAU section of endourology study. World Journal of Urology. https://doi.org/10.1007/s00345-025-05798-9
Source records
- crossref · retrieved 2026-09-24T22:09:18.340Z