Article
DISCERN: A Clinical Impact-aware Framework for Radiology Report Comparison
2026-05-27
Abstract excerpt
The surge in medical imaging has spurred the development of vision-language models (VLMs) to alleviate radiologist workloads. However, clinical deployment is hindered by the lack of meaningful evaluation frameworks. Current metrics - ranging from semantic similarity to large language model (LLM) based judges - often fail to distinguish between clinically trivial and critical discrepancies, poorly reflecting real-w...
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Identifiers and source
- Literature Corpus work
- c0c884d7-e58a-5ea4-966f-4de825bad6f6
- DOI
- 10.64898/2026.05.26.26353612
