AI RESEARCH
How Sensitive Are Radiomic AI Models to Acquisition Parameters?
arXiv CS.AI
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ArXi:2605.14667v1 Announce Type: new A main barrier for the deployment of AI radiomic systems in clinical routine is their drop in performance under heterogeneous multicentre acquisition protocols. This work presents a performance-oriented framework for quantifying scan parameter sensitivity of radiomic AI models, while identifying clinically significant parameter regions associated with improved cross-dataset robustness.