7 open VLMs were tested as a local second reader for medical de-identification
MaziyarPanahi · x · 2026-07-22
We tested 7 small open VLMs as a local second-reader for de-identifying medical images.
- Qwen3-VL 4B: 7/7 identifiers, 6.9s, 0 false alarms — chosen as the seat.
- Gemma 4 E2B: 6/7.
- Qwen3-VL 2B: 4/7, but the fastest.
- NVIDIA LocateAnything-3B: perfect bounding boxes, but it never judged what was personal.
- InternVL3 2B: correctly read the patient’s name, then still said it was not personal.
The takeaway: reading is easy; deciding is the hard part. The follow-up example showed OpenMed’s PII model passing a chest X-ray, while Qwen3-VL caught a clinic name still burned into the image. Both models are open on Hugging Face. The question posed: should every scan get a second reader?
Related event: Qwen3-VL Beats 6 Open-Source VLMs in Medical Image Desensitization Test(3 posts)→
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