Randomized trial demonstrates improvements in imaging efficiency and quality in MRI, suggesting significant advancements in medical imaging technology.
Deep learning reconstruction (DLR) has emerged as a central component of modern MRI, with the potential to transform image acquisition by enabling shorter scan times while preserving, or even improving, image quality.[1][1][⇓][2]-[3][3] As adoption accelerates, understanding real-world performance
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Reza Forghani (2026) studied this question.
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