U.S. National Library of Medicine (NIH/NLM)

VQA-RAD: Visual Question Answering for Radiology

VQA-RAD is the first manually constructed VQA dataset in radiology, where clinicians asked naturally occurring questions about radiology images and provided reference answers. It contains 315 radiology images (head CTs/MRIs, chest X-rays, abdominal CTs) with

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Status
cataloged
Saturation
partial
Reproduction
not yet
Published results
0 models

Editor's note

Clinician-authored visual QA over radiology images — a multimodal medical benchmark. Tests vision-language models, not text-only. Already in inspect_evals.

Published results

No source-reported scores have been added to BioInspect yet.

Reproduce: inspect_evals implementation

Sources