Predicting the stone-free status post percutaneous nephrolithotomy: a meta-analysis of machine learning models
- DOI
- 10.1007/s00240-026-01974-7
- Published
- 2026-04-10
- Container
- Urolithiasis
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00240-026-01974-7,
title = {Predicting the stone-free status post percutaneous nephrolithotomy: a meta-analysis of machine learning models},
author = {Abdullah Abdulhalim Behbehani and Mohammed Ahmad Al-Awadhi and Yousef Mesaed Al-Shammari and Shahad Tawfeeq Albusairi and Saleh Yaqoob Rouhaldeen and Abdullah Naser Alsheeha and Dhari Aws Al-Khalfan and Shady Mohamed Salem},
year = {2026},
journal = {Urolithiasis},
doi = {10.1007/s00240-026-01974-7},
url = {https://doi.org/10.1007/s00240-026-01974-7}
}RIS
TY - JOUR TI - Predicting the stone-free status post percutaneous nephrolithotomy: a meta-analysis of machine learning models AU - Abdullah Abdulhalim Behbehani AU - Mohammed Ahmad Al-Awadhi AU - Yousef Mesaed Al-Shammari AU - Shahad Tawfeeq Albusairi AU - Saleh Yaqoob Rouhaldeen AU - Abdullah Naser Alsheeha AU - Dhari Aws Al-Khalfan AU - Shady Mohamed Salem PY - 2026 JO - Urolithiasis DO - 10.1007/s00240-026-01974-7 UR - https://doi.org/10.1007/s00240-026-01974-7 ER -
APA
Behbehani, A. A., Al-Awadhi, M. A., Al-Shammari, Y. M., Albusairi, S. T., Rouhaldeen, S. Y., Alsheeha, A. N., Al-Khalfan, D. A., & Salem, S. M. (2026). Predicting the stone-free status post percutaneous nephrolithotomy: a meta-analysis of machine learning models. Urolithiasis. https://doi.org/10.1007/s00240-026-01974-7
Source records
- crossref · retrieved 2026-09-25T08:36:07.934Z