AI RESEARCH
Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance
arXiv CS.AI
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ArXi:2604.10904v1 Announce Type: cross AI-based image reconstruction models are increasingly deployed in clinical workflows to improve image quality from noisy data, such as low-dose X-rays or accelerated MRI scans. However, these models are typically evaluated using pixel-level metrics like PSNR, leaving their impact on downstream diagnostic performance and fairness unclear. We