A deep-learning model performs comparably to an abdominal radiologist when it comes to finding clinically significant prostate cancer on MRI, researchers have reported.

The model shows promise as a way to improve radiologists' diagnostic performance on MRI by increasing cancer detection rates and decreasing false positives, study lead author Naoki Takahashi, MD, from the Mayo Clinic in Rochester, MN, said in a statement released by the RSNA. The study findings were published August 6 in Radiology.