Radiomics and Image-based Artificial Intelligence for Predicting Recurrence and Survival After Surgery in Localized Renal Cell Carcinoma: An APPRAISE-AI Systematic Review and Meta-analysis
Year: 2026
Type: review
Study designs: Systematic Review, Meta-Analysis
Source: European Urology Focus
Authors: Georges Mjaess, Romain Diamand, Nayoth Dikete, Jethro C.C. Kwong, Martina Pezzullo, Gaëlle Margue, Vassiliki Pasoglou, Nicolas Michoux, Riccardo Campi, Daniele Amparore, Fouad Aoun, Simone Albisinni, Philippe Haroun, Julien Van Damme, Alexandre Peltier, Jean-Christophe Bernhard, Alexandre R. Zlotta, Bertrand Tombal, Thierry Quackels, Thierry Roumeguère
Institutions: University of Toronto, Universitair Ziekenhuis Brussel, Université de Bordeaux, Inserm, BoRdeaux Institute of onCology, Cliniques Universitaires Saint-Luc, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Ospedale San Luigi Gonzaga, University of Turin, Hôtel-Dieu de France, University of Rome Tor Vergata, Policlinico Tor Vergata, UCLouvain
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W7123355122