Assessing the performance of AI assistance for prostate MRI: a two-center study involving radiologists with different experience levels

Motivation: There is a pressing need for quantitative, objective diagnostic tools to support radiologists in improving the accuracy and efficiency of detecting clinically significant prostate cancer (csPCa) using multiparametric MRI (mpMRI). Goal(s): To assess the performance of experienced and less-experienced radiologists in detecting csPCa, with and without AI assistance. Approach: Researchers compared the performance of experienced and less-experienced radiologists in interpreting scans, both with and without AI assistance, using data from 900 patients. Results: The findings suggest that AI can enhance diagnostic accuracy and confidence in prostate MRI readings, particularly for those with less experience in the field. Impact: This research demonstrate how AI can assist radiologist in interpreting multiparametric prostate mpMRI, thereby facilitating broader clinical implementation of AI technologies in routine practice.