The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies

Mohammadreza Padooiy Nooshabadi, Behnam Shakiba, Hossein Akbarnataj, Nadia Saniee

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DOI: 10.1177/03915603261467531
Published: 2026-07-29
Container: Urologia Journal
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/03915603261467531,
  title = {The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies},
  author = {Mohammadreza Padooiy Nooshabadi and Behnam Shakiba and Hossein Akbarnataj and Nadia Saniee},
  year = {2026},
  journal = {Urologia Journal},
  doi = {10.1177/03915603261467531},
  url = {https://doi.org/10.1177/03915603261467531}
}

RIS

TY  - JOUR
TI  - The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies
AU  - Mohammadreza Padooiy Nooshabadi
AU  - Behnam Shakiba
AU  - Hossein Akbarnataj
AU  - Nadia Saniee
PY  - 2026
JO  - Urologia Journal
DO  - 10.1177/03915603261467531
UR  - https://doi.org/10.1177/03915603261467531
ER  -

APA

Nooshabadi, M. P., Shakiba, B., Akbarnataj, H., & Saniee, N. (2026). The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies. Urologia Journal. https://doi.org/10.1177/03915603261467531

Source records

crossref · retrieved 2026-09-27T10:30:27.511Z