> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Medical and clinical research skills

> Agent skills for DICOM imaging, pathology, health datasets and evidence synthesis in medical research.

# Medical and clinical research

These skills support research workflows. Check your institution's data rules before giving an agent access to patient information, and review clinical interpretations with qualified domain experts.

| Task | Skill | Research starting point |
| - | - | - |
| Inspect imaging metadata | [`pydicom`](/research-agent-skills/skills/pydicom) | Use de-identified DICOM files and verify pixel handling |
| Analyze pathology images | [`pathml`](/research-agent-skills/skills/pathml) | Document stain, scanner and slide-level split |
| Work with health ML datasets | [`pyhealth`](/research-agent-skills/skills/pyhealth) | Define cohort, outcome and leakage controls |
| Structure a research report | [`clinical-reports`](/research-agent-skills/skills/clinical-reports) | Provide verified findings and intended audience |
| Plan an evidence review | [`systematic-review-prisma`](/research-agent-skills/skills/systematic-review-prisma) | Specify question, eligibility and search strategy |

```bash theme={null}
npx skills add KalarisLabs/research-agent-skills --skill systematic-review-prisma
```

Try: “Draft a PRISMA protocol for this research question. List databases, screening rules and outcomes before any search begins.” Continue with the [systematic review guide](/research-agent-skills/guides/systematic-review) and [citation verification](/research-agent-skills/skills/citation-verification).


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.