A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

The image-quality rating was found to be scan indication– and reading radiologist–dependent. Of the 49 test datasets, technologists created a mean ratio of rescans/recalls of (4.7 5.1)/(9.5 6.8) for MS and (8.6 7.7)/(1.6 With thresholds adapted for scan indication and reading radiologist, deep learning created a rescan/recall ratio of (7.3 2.2)/(3.2 Due to the large variability in the technologists' assessments, it was only the decrease in the recall rate for MS, for which the deep learning algorithm was trained, that was statistically significant (P .03).