Authority-Preserving Evaluation of Medical Vision-Language Assistants
Quick summary
arXiv:2609.22302v1 Announce Type: cross Abstract: Medical vision-language models can propose how urgently a skin lesion should be reviewed, but the local service retains authority to accept or replace that proposal under referral policy, capacity, and locally held patient context. Proposal quality and selected-action quality are therefore distinct evaluation targets, and benchmark evidence transfers between them only when local review preserves the expected action score. We introduce AuthEval, a logging and evaluation framework that records both actions, scores the selected action under declar
Key takeaways
- arXiv:2609.22302v1 Announce Type: cross Abstract: Medical vision-language models can propose how urgently a skin lesion should be reviewed, but the local service retains authority to accept or replace that proposal under referral policy, capacity, and locally held patient context.
- Proposal quality and selected-action quality are therefore distinct evaluation targets, and benchmark evidence transfers between them only when local review preserves the expected action score.
- We introduce AuthEval, a logging and evaluation framework that records both actions, scores the selected action under declar
Why it matters
“Authority-Preserving Evaluation of Medical Vision-Language Assistants” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.
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