Medical Imaging Review
Analyzes medical images like X-rays and MRIs to highlight potential anomalies for clinician review.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add medical-imaging-review npx -- -y @trustedskills/medical-imaging-review
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"medical-imaging-review": {
"command": "npx",
"args": [
"-y",
"@trustedskills/medical-imaging-review"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to analyze and review medical imaging data, assisting in the detection of anomalies within diagnostic scans. It supports researchers and clinicians in streamlining the evaluation process for various imaging modalities.
When to use it
- Automating the preliminary screening of X-rays or CT scans to flag potential abnormalities.
- Assisting radiologists in cross-referencing new patient data against historical imaging records.
- Supporting research studies that require high-volume analysis of MRI datasets for pattern recognition.
- Validating image quality and alignment before further diagnostic processing occurs.
Key capabilities
- Reviewing diverse medical imaging formats for diagnostic accuracy.
- Identifying specific anomalies and structural irregularities within scan data.
- Providing structured feedback on image interpretation to support clinical decision-making.
Example prompts
- "Review this chest X-ray for signs of pneumonia or fluid accumulation."
- "Analyze the provided MRI sequence to identify any lesions in the brain tissue."
- "Compare these two CT scans to highlight changes in tumor size over time."
Tips & gotchas
Ensure all input images are de-identified and comply with local data privacy regulations before processing. While this tool aids analysis, it should not replace final clinical judgment by a qualified medical professional.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.