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Artificial Intelligence for Risk Prediction in Non-muscle-invasive Bladder Cancer: From Complexity to Clinical

Zine-Eddine Khene1, Karim Bensalah2, Morgan Rouprêt3

  • 1Department of Urology, Rennes University Hospital, Rennes, France; Department of Urology, UT Southwestern Medical Center, Dallas, TX, USA; Image and Signal Processing Laboratory, Inserm U1099, University of Rennes, Rennes, France.

European Urology
|December 4, 2025
PubMed
Abstract

No abstract available in PubMed .

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