The Slop Paradox: How Synthetic Standardization Erodes Clinical Uncertainty and Cross-Modal Alignment in AI-Rewritten Radiology Reports

In three linesStudy of 450 chest X-ray reports showing LLM rewriting for standardization preserves image-text alignment (2.5% degradation) but erodes 26.8–29.3% of clinical entities and 14.9–16.5% of uncertainty language. The paradox: tasks producing 'cleaner' text pull content away from images.

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