Multimodal large language models for bladder tumor detection in cystoscopy: a retrospective benchmarking study.

Prat Y, Mahmud H, Tsur A, Laufer M, Orkin D, Dotan ZA, Rosenzweig B

DOI: 10.1007/s00345-026-06761-y
Published: 2026 Sep 17
Container: World journal of urology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s00345-026-06761-y,
  title = {Multimodal large language models for bladder tumor detection in cystoscopy: a retrospective benchmarking study.},
  author = {Prat Y and Mahmud H and Tsur A and Laufer M and Orkin D and Dotan ZA and Rosenzweig B},
  year = {2026},
  journal = {World journal of urology},
  doi = {10.1007/s00345-026-06761-y},
  url = {https://doi.org/10.1007/s00345-026-06761-y}
}

RIS

TY  - JOUR
TI  - Multimodal large language models for bladder tumor detection in cystoscopy: a retrospective benchmarking study.
AU  - Prat Y
AU  - Mahmud H
AU  - Tsur A
AU  - Laufer M
AU  - Orkin D
AU  - Dotan ZA
AU  - Rosenzweig B
PY  - 2026
JO  - World journal of urology
DO  - 10.1007/s00345-026-06761-y
UR  - https://doi.org/10.1007/s00345-026-06761-y
ER  -

APA

Y, P., H, M., A, T., M, L., D, O., ZA, D., & B, R. (2026). Multimodal large language models for bladder tumor detection in cystoscopy: a retrospective benchmarking study.. World journal of urology. https://doi.org/10.1007/s00345-026-06761-y

Source records

pubmed · retrieved 2026-09-25T12:52:20.906Z