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Evaluation of AI for prostate cancer detection in biparametric-MRI screening population data
2
Zitationen
5
Autoren
2025
Jahr
Abstract
Question Does an AI system trained in a screening cohort perform as well as radiologists? Findings An AI trained on screening data achieved an AUROC of 0.83 (95% CI 0.73-0.92) with lower specificity at the same sensitivity levels as radiologists. Clinical relevance An AI system trained in a screening population has lower specificity than radiologists using PI-RADS v2.
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