---
title: "NV-Reason-CXR — Chest X-Ray Clinical VLM"
description: "Vision-language model for chest X-ray interpretation with step-by-step chain-of-thought clinical reasoning."
canonical: https://nvidia-medtech.github.io/models/nv-reason-cxr.html
audience: [engineer, researcher]
last_updated: 2026-06-10
source: models/nv-reason-cxr.html
---
# NV-Reason-CXR

Chest X-Ray Clinical VLM

Non-Commercial

Vision-language model for chest X-ray interpretation with step-by-step chain-of-thought clinical reasoning.

X-Ray [HuggingFace](https://huggingface.co/nvidia/NV-Reason-CXR-3B) [GitHub](https://github.com/NVIDIA-Medtech/NV-Reason-CXR) [Paper](https://arxiv.org/abs/2510.23968)

### Run it with an agent

Install the skill, then just ask your agent in plain language. `medagent.nv_reason_cxr`

install skill Copy

```bash
npx skills add NVIDIA-Medtech/medical-AI-skills --skill nv-reason-cxr
```

Try saying

“Run NV-Reason-CXR on the synthetic fixture JSON and keep it offline for a smoke test.”

“Run NV-Reason-CXR on chest\_xray.png and return the structured reasoning JSON for an engineering smoke test.”

“Run NV-Reason-CXR on samples/cxr\_001.jpg and show the model's chain-of-thought response text and runtime identity.”

[Skill on GitHub →](https://github.com/NVIDIA-Medtech/medical-AI-skills/tree/dev/skills/nv-reason-cxr) [How agent skills work](https://agentskills.io)

Engineering & research use only — not a medical device, not for diagnosis or clinical decision-making. Skills follow the open [Agent Skills spec](https://agentskills.io).