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Radgpt radiology reporter

Skill FridrichMethod/awesome-skills/skills/radgpt-radiology-reporter

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Install
npx -y skills add FridrichMethod/awesome-skills --skill radgpt-radiology-reporter

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What its author says it does

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Radiology Reporter

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <[email protected]> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

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

  1. Simplification: Translates "bilateral opacity" to "cloudiness in both lungs".
  2. Entity Extraction: Identifies key anatomical structures and pathologies.
  3. Q&A: Answers follow-up questions about the report.

Workflow

  1. Input: Raw text of the radiology report.
  2. Process: LLM summarizes and identifies key findings.
  3. 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
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

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