radgpt-radiology-reporter

<!--

COPYRIGHT NOTICE

This file is part of the "Universal Biomedical Skills" project.

Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>

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

-->

---

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

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 -->