A SSFSE-based fast acquisition was used in conjunction with a vendor-supplied, deep learning-based reconstruction to obtain T2-weighted images (Rapid T2w+DL) for diagnostic breast MRI. Radiologists compared the Rapid T2w+DL images to standard-of-care T2w FSE images assessing both image quality and utility in completing a typical clinical task. The fast acquisition provided a reduction in average scan time from 3:35 (min:sec) to 1:16 (64%). Deep learning was used to alleviate issues associated with the fast protocol (e.g. blurring and reduced SNR). Rapid T2w+DL images allowed for completion of the clinical task with results comparable to those obtained with standard T2w images.