Kidney stones composition prediction using artificial intelligence ( <scp>KiSCAI)</scp> study

Louise Duffaut, Pietro Scilipoti, Zine‐Eddine Khene, Steeve Doizi, Vincent Frochot, Laurent Berthe, Federico Zorzi, Nicola Nannola, Carlos Gonzalez Gonzalez, Jean Philippe Haymann, Emmanuel Letavernier, Michel Daudon, Olivier Traxer, Marie Chicaud, Frédéric Panthier

Open source

DOI: 10.1111/bju.70442
Published: 2026-08-31
Container: BJU International
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/bju.70442,
  title = {Kidney stones composition prediction using artificial intelligence (
                    <scp>KiSCAI)</scp>
                    study},
  author = {Louise Duffaut and Pietro Scilipoti and Zine‐Eddine Khene and Steeve Doizi and Vincent Frochot and Laurent Berthe and Federico Zorzi and Nicola Nannola and Carlos Gonzalez Gonzalez and Jean Philippe Haymann and Emmanuel Letavernier and Michel Daudon and Olivier Traxer and Marie Chicaud and Frédéric Panthier},
  year = {2026},
  journal = {BJU International},
  doi = {10.1111/bju.70442},
  url = {https://doi.org/10.1111/bju.70442}
}

RIS

TY  - JOUR
TI  - Kidney stones composition prediction using artificial intelligence (
                    <scp>KiSCAI)</scp>
                    study
AU  - Louise Duffaut
AU  - Pietro Scilipoti
AU  - Zine‐Eddine Khene
AU  - Steeve Doizi
AU  - Vincent Frochot
AU  - Laurent Berthe
AU  - Federico Zorzi
AU  - Nicola Nannola
AU  - Carlos Gonzalez Gonzalez
AU  - Jean Philippe Haymann
AU  - Emmanuel Letavernier
AU  - Michel Daudon
AU  - Olivier Traxer
AU  - Marie Chicaud
AU  - Frédéric Panthier
PY  - 2026
JO  - BJU International
DO  - 10.1111/bju.70442
UR  - https://doi.org/10.1111/bju.70442
ER  -

APA

Duffaut, L., Scilipoti, P., Khene, Z., Doizi, S., Frochot, V., Berthe, L., Zorzi, F., Nannola, N., Gonzalez, C. G., Haymann, J. P., Letavernier, E., Daudon, M., Traxer, O., Chicaud, M., & Panthier, F. (2026). Kidney stones composition prediction using artificial intelligence ( <scp>KiSCAI)</scp> study. BJU International. https://doi.org/10.1111/bju.70442

Source records

crossref · retrieved 2026-09-26T18:46:49.283Z