Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non–muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes
Journal
European Urology
ISSN
0302-2838
Date Issued
2025-10
Author(s)
Sam S. Chang
Bryn Launer
Vikram Narayan
Dattatraya Patil
Michael A. O’Donnell
Patrick J. Hensley
John A. Taylor
Roger Li
Haochen Zhang
Viswesh Krishna
Damir Vrabac
Waleed M. Abuzeid
Vivek Nimgaonkar
Drew Watson
Trevor J. Royce
Lesli A. Kiedrowski
Anirudh Joshi
Badrinath R. Konety
Philippe E. Spiess
Stephen B. Williams
Vignesh T. Packiam
Ashish M. Kamat
Yair Lotan
Siamak Daneshmand
Type
journal-article
Cite this document
Chang, S. S., Launer, B., Narayan, V., Patil, D., O’Donnell, M. A., Hensley, P. J., Taylor, J. A., Li, R., Fernandez, M. I., Zhang, H., Krishna, V., Vrabac, D., Abuzeid, W. M., Nimgaonkar, V., Watson, D., Royce, T. J., Kiedrowski, L. A., Joshi, A., Konety, B. R., … Daneshmand, S. (2025). Computational histology artificial intelligence (Chai) enhances risk stratification of high-grade ta non–muscle-invasive bladder cancer in a multicenter cohort: Comparison to current european association of urology and american urological association stratification schemes. European Urology, 88(4), 411-413. https://doi.org/10.1016/j.eururo.2025.05.035