Development and internal validation of machine-learning models to predict adverse pathological features in upper tract urothelial carcinoma.
- DOI
- 10.1016/j.urolonc.2026.08.017
- Published
- 2026 Sep 16
- Container
- Urologic oncology
- Publisher
- Not recorded
- Open access
- unknown
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BibTeX
@article{allodium:10.1016/j.urolonc.2026.08.017,
title = {Development and internal validation of machine-learning models to predict adverse pathological features in upper tract urothelial carcinoma.},
author = {Korn P and Pallauf M and Lokeshwar S and Musso G and Wu Z and Wang L and Kutikov A and Lee R and Ditonno F and Veccia A and Bertolo R and Antonelli A and Lin L and Margulis V and Ghoreifi A and Ebrahimi H and Djaladat H and Kinoshita H and Yoshida T and Tuderti G and Proietti F and Simone G and Mari A and Lambertini L and Minervini A and Tozzi M and Ferro M and Contieri R and Perdona S and Amparore D and Bignante G and Porpiglia F and Nativ OF and Gonzalgo ML and Santangelo A and Silvani C and Stephens A and Abdollah F and Fu M and Ghodoussipour S and Zhu A and Mehrazin R and Sidhom DA and Sundaram CP and Matsumoto T and Shiota M and Dehghanmanshadi A and Rais-Bahrami S and Daher K and Derweesh IH and Autorino R and Singla N},
year = {2026},
journal = {Urologic oncology},
doi = {10.1016/j.urolonc.2026.08.017},
url = {https://doi.org/10.1016/j.urolonc.2026.08.017}
}RIS
TY - JOUR TI - Development and internal validation of machine-learning models to predict adverse pathological features in upper tract urothelial carcinoma. AU - Korn P AU - Pallauf M AU - Lokeshwar S AU - Musso G AU - Wu Z AU - Wang L AU - Kutikov A AU - Lee R AU - Ditonno F AU - Veccia A AU - Bertolo R AU - Antonelli A AU - Lin L AU - Margulis V AU - Ghoreifi A AU - Ebrahimi H AU - Djaladat H AU - Kinoshita H AU - Yoshida T AU - Tuderti G AU - Proietti F AU - Simone G AU - Mari A AU - Lambertini L AU - Minervini A AU - Tozzi M AU - Ferro M AU - Contieri R AU - Perdona S AU - Amparore D AU - Bignante G AU - Porpiglia F AU - Nativ OF AU - Gonzalgo ML AU - Santangelo A AU - Silvani C AU - Stephens A AU - Abdollah F AU - Fu M AU - Ghodoussipour S AU - Zhu A AU - Mehrazin R AU - Sidhom DA AU - Sundaram CP AU - Matsumoto T AU - Shiota M AU - Dehghanmanshadi A AU - Rais-Bahrami S AU - Daher K AU - Derweesh IH AU - Autorino R AU - Singla N PY - 2026 JO - Urologic oncology DO - 10.1016/j.urolonc.2026.08.017 UR - https://doi.org/10.1016/j.urolonc.2026.08.017 ER -
APA
P, K., M, P., S, L., G, M., Z, W., L, W., A, K., R, L., F, D., A, V., R, B., A, A., L, L., V, M., A, G., H, E., H, D., H, K., T, Y., G, T., F, P., G, S., A, M., L, L., A, M., M, T., M, F., R, C., S, P., D, A., G, B., F, P., OF, N., ML, G., A, S., C, S., A, S., F, A., M, F., S, G., A, Z., R, M., DA, S., CP, S., T, M., M, S., A, D., S, R., K, D., IH, D., R, A., & N, S. (2026). Development and internal validation of machine-learning models to predict adverse pathological features in upper tract urothelial carcinoma.. Urologic oncology. https://doi.org/10.1016/j.urolonc.2026.08.017
Source records
- pubmed · retrieved 2026-09-25T10:52:20.340Z