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Simulating workload reduction with an AI-based prostate cancer detection pathway using a prediction uncertainty metric.

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Bibliographic Details
Title: Simulating workload reduction with an AI-based prostate cancer detection pathway using a prediction uncertainty metric.
Authors: Fransen SJ; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands. s.j.fransen@umcg.nl., Bosma JS; Radboud University Medical Center, Diagnostic Image Analysis Group, Nijmegen, The Netherlands., van Lohuizen Q; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands., Roest C; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands., Simonis FFJ; TechMed Centre, Technical University Twente, Enschede, The Netherlands., Kwee TC; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands., Yakar D; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands., Huisman H; Radboud University Medical Center, Diagnostic Image Analysis Group, Nijmegen, The Netherlands.
Source: European radiology [Eur Radiol] 2025 Dec; Vol. 35 (12), pp. 7821-7831. Date of Electronic Publication: 2025 Jun 07.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1084
DOI:10.1007/s00330-025-11727-6