Agent skill
radgpt-radiology-reporter
Install this agent skill to your Project
npx add-skill https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/radgpt-radiology-reporter
SKILL.md
name: radgpt-radiology-reporter description: Radiology Reporter keywords:
- radiology
- report-generation
- patient-friendly
- summarization
- explanation measurable_outcome: Generate a patient-friendly explanation of a radiology report with <1% hallucination rate within 30 seconds. license: MIT metadata: author: Stanford Medicine version: "1.0.0" compatibility:
- system: Python 3.9+ allowed-tools:
- run_shell_command
- read_file
RadGPT (Radiology Report Assistant)
An LLM-based agent designed to summarize and explain complex radiology reports for patients and clinicians.
When to Use
- Patient Communication: Converting technical findings into plain language.
- Clinician Review: Highlighting critical findings (e.g., "Pneumothorax detected").
- Follow-up: Suggesting appropriate next steps based on findings.
Core Capabilities
- Simplification: Translates "bilateral opacity" to "cloudiness in both lungs".
- Entity Extraction: Identifies key anatomical structures and pathologies.
- Q&A: Answers follow-up questions about the report.
Workflow
- Input: Raw text of the radiology report.
- Process: LLM summarizes and identifies key findings.
- Output: Structured summary or conversational explanation.
Example Usage
User: "Explain this chest X-ray report to the patient."
Agent Action:
python -m radgpt.explain --report ./report.txt --target_audience patient
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