Machine learning-integrated explainable artificial intelligence for survival prediction in urothelial carcinoma with enfortumab vedotin: an exploratory real-world analysis
Year: 2026
Type: article
Study design: Observational Study
Authors: Kannan Sridharan, Ondrej Fiala, Gowri Sivaramakrishnan, Marc R. Matrana, Thomas Büttner, Jakub Kucharz, Javier Molina Cerrillo, Patrizia Giannatempo, Zin W. Myint, Alfonso Gómez de Liaño, Alina Pirshtuk, Augusto Mota, Ravindran Kanesvaran, Yüksel Ürün, Martin Angel, Tomas Soule, Francesco Massari, Joaquim Bellmunt, Shilpa Gupta, Matteo Santoni
Institutions: Arabian Gulf University, Charles University, University Hospital Plzen, ARON Research Foundation ETS, Ochsner Medical Center, University Hospital Bonn, The Maria Sklodowska-Curie National Research Institute of Oncology, Hospital Universitario Ramón y Cajal, Fondazione IRCCS Istituto Nazionale dei Tumori, University of Kentucky, Universidad de Las Palmas de Gran Canaria, National Cancer Centre Singapore, Ankara University, Instituto Alexander Fleming, IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola, University of Bologna, Harvard University, Cleveland Clinic, Ospedale di Macerata
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W7204652801