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A recent study published in the Radiology journal explores the use of a fully automated deep learning model to detect clinically significant prostate cancer (csPCa) on MRI scans. The study found that the model was able to accurately predict the presence of csPCa without prior information on the tumor’s location, potentially reducing costs and improving accuracy in diagnosis.
