MedPage Today August 6, 2024
— Combined findings from model and radiologists outperformed radiologists alone
A deep learning model was as effective as radiologists in detecting clinically significant prostate cancer on multiparametric MRI, a retrospective study suggested.
In an internal test set of 400 examinations, the model’s performance did not differ from that of experienced radiologists in detecting clinically significant prostate cancer, with area under the receiver operating characteristic curves (AUCs) of 0.89 and 0.89 for the deep learning model and radiologists, respectively (P=0.88), reported Naoki Takahashi, MD, of the Mayo Clinic in Rochester, Minnesota, and colleagues.
Results were similar on an external test set of 204 examinations, with AUCs of 0.86 and 0.84 for the deep learning model and the radiologists (P=0.68), they noted...
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