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数据与复现
MU
multimodal-medical-imaging
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Multimodal medical imaging analysis: CT, MRI, PET fusion and segmentation.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/multimodal-medical-imaging
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Multimodal Medical Imaging Analysis Skill leverages state-of- -art Vision-Language Models (VLMs) like Gemini 1.5 Pro 、 GPT-4o to interpret medical imagery alongside clinical text。
- When you need preliminary screening of medical images。
- When correlating visual findings ，支持 textual clinical notes。
- To generate structured reports (DICOM-SR-like) ，面向 raw images。
- When you need preliminary screening of medical images. When correlating visual findings ，支持 textual clinical notes. * To generate structured reports (DICOM-SR-like) ，面向 raw images。
原始文档
SKILL.md 摘录
Core Capabilities
- Anomaly Detection: Identify potential pathologies in X-rays, CTs, etc.
- Report Generation: Draft radiology reports in standard formats.
- VQA (Visual Question Answering): Answer specific questions about an image (e.g., "Is there a fracture in the left femur?").
Workflow
- Input: Provide an image file path (JPG, PNG) and a specific clinical question or "generate report" instruction.
- Analyze: The agent sends the image and prompt to the VLM.
- Output: Returns a JSON object with findings, confidence scores, and reasoning.
Example Usage
User: "Analyze this chest X-ray for pneumonia."
Agent Action:
适用场景
- When you need preliminary screening of medical images。
- When correlating visual findings ，支持 textual clinical notes。
- To generate structured reports (DICOM-SR-like) ，面向 raw images。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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