scientific-radiology-ai
CommunityAI-driven radiology workflows for automated insights.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides an end-to-end AI radiology pipeline that delivers classification, segmentation, explainability, and structured reporting for medical imaging.
Core Features & Use Cases
- MONAI-based classification, segmentation, Grad-CAM explainability, and structured radiology report generation.
- Grad-CAM visualization and explainability to support clinical decision-making.
- AI-RADS scoring integration and report-ready outputs for radiology workflows.
- Use cases include CT/MRI/X-ray image analysis, automated report drafting, and clinician review support.
Quick Start
Run the end-to-end radiology AI pipeline to classify images, generate Grad-CAM explanations, and produce a structured report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-radiology-ai Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-radiology-ai Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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