# Radiology Dataset Guide

> Guides researchers and developers through radiology dataset selection, access, and utilization for AI development. Use when user mentions "radiology dataset", "medical imaging data", "RSNA challenge", "MIMIC data access", or needs dataset guidance.

- **Type:** Skill
- **Install:** `agentstack add skill-aizech-clinical-skills-radiology-dataset-guide`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [aizech](https://agentstack.voostack.com/s/aizech)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [aizech](https://github.com/aizech)
- **Source:** https://github.com/aizech/clinical-skills/tree/main/.bob/skills/radiology-dataset-guide
- **Website:** https://www.corpusanalytica.com/skills/

## Install

```sh
agentstack add skill-aizech-clinical-skills-radiology-dataset-guide
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Radiology Dataset Guide Skill

## Triggers

- "radiology dataset"
- "medical imaging data"
- "RSNA challenge"
- "MIMIC data access"
- "CheXpert download"
- "dataset comparison"
- "training data preparation"
- "public dataset"

## Parameters

- `task_type` (required): ML/AI task being solved
  - `detection` - Abnormality/nodule/cancer detection
  - `segmentation` - Organ or lesion segmentation
  - `classification` - Disease or finding classification
  - `reconstruction` - Image reconstruction/enhancement
  - `quantification` - Measurement and feature extraction
- `anatomy` (optional): Body region or organ system
- `modality` (optional): Imaging modality preference
- `access_requirements` (optional): Data use restrictions
- `commercial_use` (optional): Boolean for commercial application intent

## Dataset Inventory

| Dataset | Modality | Primary Task | Access | Annotations |
|---------|----------|---------------|--------|-------------|
| RSNA Bone Age | X-ray | Regression | Public | Age, quality |
| RSNA Pneumonia | Chest X-ray | Detection | Public | Bounding boxes |
| RSNA Brain Hemorrhage | CT | Detection | Public | Bounding boxes, type |
| NIH ChestX-ray14 | Chest X-ray | Classification | Public | Labels |
| CheXpert | Chest X-ray | Classification | Institutional | Labels |
| MIMIC-CXR | Chest X-ray | Multi | PhysioNet | Labels, reports |
| CheXphoto | Chest X-ray | Classification | Public | Synth/real pairs |
| LUNA16 | CT | Detection | Public | Nodule centers |
| KiTS | CT | Segmentation | Public | Kidney/tumor |
| BraTS | MRI | Segmentation | Research | Multi-modal seg |
| PANDA | Histology | Classification | Public | Biopsy grades |
| OBJ-CXR | Chest X-ray | Detection | Public | Bounding boxes |

## Output Format

Returns structured JSON with:
- Relevant datasets ranked by suitability
- Annotation quality and completeness
- Access procedure and requirements
- Key publications and benchmarks
- Preprocessing recommendations
- Compliance and ethics considerations

## Usage Examples

```
task_type: detection
anatomy: lung
modality: CT

task_type: classification
anatomy: chest
commercial_use: true
```

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [aizech](https://github.com/aizech)
- **Source:** [aizech/clinical-skills](https://github.com/aizech/clinical-skills)
- **License:** MIT
- **Homepage:** https://www.corpusanalytica.com/skills/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-aizech-clinical-skills-radiology-dataset-guide
- Seller: https://agentstack.voostack.com/s/aizech
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.