Commentary on "develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy".

IF 2 2区医学 Q2 UROLOGY & NEPHROLOGY

Urolithiasis Pub Date : 2024-06-27 DOI:10.1007/s00240-024-01600-4

Ali Şahin, Emre Altıntaş, Murat Gül

引用次数: 0

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来源期刊

Urolithiasis UROLOGY & NEPHROLOGY-

CiteScore

4.50

自引率

6.50%

发文量

期刊介绍： Official Journal of the International Urolithiasis Society The journal aims to publish original articles in the fields of clinical and experimental investigation only within the sphere of urolithiasis and its related areas of research. The journal covers all aspects of urolithiasis research including the diagnosis, epidemiology, pathogenesis, genetics, clinical biochemistry, open and non-invasive surgical intervention, nephrological investigation, chemistry and prophylaxis of the disorder. The Editor welcomes contributions on topics of interest to urologists, nephrologists, radiologists, clinical biochemists, epidemiologists, nutritionists, basic scientists and nurses working in that field. Contributions may be submitted as full-length articles or as rapid communications in the form of Letters to the Editor. Articles should be original and should contain important new findings from carefully conducted studies designed to produce statistically significant data. Please note that we no longer publish articles classified as Case Reports. Editorials and review articles may be published by invitation from the Editorial Board. All submissions are peer-reviewed. Through an electronic system for the submission and review of manuscripts, the Editor and Associate Editors aim to make publication accessible as quickly as possible to a large number of readers throughout the world.