Recently published landmark multiparametric MRI prostate cancer detection studies are summarized, together with their impact on patient management and guidance for the use of this highly important approach.
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An end-to-end concept is described, which allows standardized workflow with reproducible and fast data acquisition with optimized imaging sequences and an AI-empowered data analysis including automated detection, classification and reporting of suspicious lesions in biparametric prostate MRI examinations.
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