Commentary on "develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy"
Urolithiasis
.
2024 Jun 27;52(1):101.
doi: 10.1007/s00240-024-01600-4.
Authors
Ali Şahin
1
,
Emre Altıntaş
2
,
Murat Gül
3
Affiliations
1
Selcuk University School of Medicine, Konya, 42250, Turkey.
2
Department of Urology, Selcuk University School of Medicine, Konya, 42250, Turkey.
3
Department of Urology, Selcuk University School of Medicine, Konya, 42250, Turkey. drmuratgul@hotmail.com.
PMID:
38937288
DOI:
10.1007/s00240-024-01600-4
No abstract available
Publication types
Letter
Comment
MeSH terms
Humans
Kidney Calculi* / diagnostic imaging
Kidney Calculi* / surgery
Machine Learning*
Nephrolithotomy, Percutaneous* / adverse effects
Nephrolithotomy, Percutaneous* / methods
Radiomics