P0207 RECURxNCE-BCa, an artificial intelligence-based tool to predict recurrence in nonmuscle invasive bladder cancer using the WHO 2004/2022 grading system

European Urology 2026

View at publisher
Authors: J. Kwong, K. Kim, Maximiliano Ringa, A. Feifer, K. Lajkosz, M.S. Wettstein, T. Lee, W. Kassouf, P.C. Black, Marie-Pier St-Laurent, Rodney Henry Breau, M. Lodde
+12 more A. Fairey, Jean‐Baptiste Lattouf, Claudio Jeldres A, R. Rendon, R. Diamand, P. Gontero, Richard J Sylvester, Bas WG van Rhijn, A.M. Kamat, Alistair E. W. Johnson, A.R. Zlotta, G.S. Kulkarni
DOI: 10.1016/s0302-2838(26)01113-9
Cited by: 0

Fields of Study & Subjects

Bladder and Urothelial Cancer Treatments AI in cancer detection Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
European Urology
Volume
89
Pages
S1–S2
Publication date
13 February 2026
Language
EN