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From AI-based image analysis to surgical decision support in prostate cancer: interdisciplinary application of the international radiomics platform

ObjectivesDiagnosis and surgical therapy planning for prostate cancer patients are often hindered by fragmented workflows and a lack of integrated, data-driven analysis - barriers that specifically impede the effective deployment of machine learning (ML)-based risk stratification and clinical decisi...

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Principais autores: Fabian Tollens, Niklas Westhoff, Jan Moltz, Tim Hartenstein, Anne Sophie Michel, Mahnoosh Naeimi, Johannes Ludwig, Peter Kohlmann, Judith Herrmann, Konstantin Nikolaou, Stefan O. Schoenberg, Dominik Nörenberg
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2026-05-01
Serier:Frontiers in Oncology
Fag:
machine learning
multiparametric MRI
outcome prediction
PI-RADS
prostate cancer
radiomics
Online adgang:https://www.frontiersin.org/articles/10.3389/fonc.2026.1816463/full
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