structuring-radiology-reports
Converts free-text radiology narratives into structured findings and impression — with measurements, laterality, anatomy, and follow-up recommendations — after OpenMed NER. Use when the user has a CT/MRI/X-ray/ultrasound/mammography report and needs the sections split (technique, comparison, findings, impression), lesion measurements and laterality captured, BI-RADS / Lung-RADS assessment categories pulled, or incidental findings and recommended follow-up tracked. Trigger keywords: radiology report, findings, impression, RadLex, DICOM-SR, BI-RADS, Lung-RADS, ACR, laterality, measurement, nodul
Profile →npx skills add maziyarpanahi/openmed --skill structuring-radiology-reports --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Structuring radiology reports A radiology report is prose, but its *meaning* is structured: a **technique**, a **comparison**, a list of **findings** (each with anatomy, laterality, and a measurement), and an **impression** that may carry an **assessment category** (BI-RADS, Lung-RADS) and a **follow-up recommendation**. This skill turns the narrative into that structure so findings are trackable — especially **incidental findings** that need downstream follow-up. OpenMed extracts the anatomy, disease/finding, and measurement spans on-device; this skill organizes them into sectioned, coded findings. It is **decision-support, not a diagnostic device** — every structured finding must be attributable back to its source sentence for radiologist review. ## When to use - You have a CT/MRI/X-ray/US/mammography report and need `{technique, comparison, findings[], impression}` with measurements and laterality. - You must capture **BI-RADS** (breast) or **Lung-RADS** (lung screening) assessment categories and the recommended action. - You need to **track incidental findings** and the follow-up interval/modality the report recommends. - You are mapping findings toward **RadLex** terms or a
- When to use
- Quick start
- Workflow
- Hand-off to / from OpenMed
- Edge cases & gotchas
- Standards & references
What does the structuring-radiology-reports skill do?
Converts free-text radiology narratives into structured findings and impression — with measurements, laterality, anatomy, and follow-up recommendations — after OpenMed NER. Use when the user has a CT/MRI/X-ray/ultrasound/mammography report and needs the sections split (technique, comparison, findings, impression), lesion measurements and laterality captured, BI-RADS / Lung-RADS assessment categories pulled, or incidental findings and recommended follow-up tracked. Trigger keywords: radiology report, findings, impression, RadLex, DICOM-SR, BI-RADS, Lung-RADS, ACR, laterality, measurement, nodul
How do I install it?
Run `npx skills add maziyarpanahi/openmed --skill structuring-radiology-reports --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From maziyarpanahi/openmed, a repository with 4,851 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.