This shareable PDF can be hosted on any platform or network and is fully compliant with publisher copyright.
This publication has not yet been explained in plain language by the author(s). However, you can still read the publication.
If you are one of the authors, claim this publication so you can create a plain language summary to help more people find, understand and use it.
This page is a summary of: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease, World Journal of Urology, November 2024, Springer Science + Business Media,
DOI: 10.1007/s00345-024-05314-5.
You can read the full text:
The following have contributed to this page
