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MR imaging rescans and recalls can create large hospital revenue loss. The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series.

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