--> --- name: gemini-multimodal-medical-analysis description: Analyzes multimodal medical inputs (X-ray, MRI, Pathology slides + Clinical notes) using Gemini. keywords: - multimodal - radiology - pathology - vision - gemini - health-stack measurable_outcome: Generates multimodal diagnostic insights in under 10 seconds. license: MIT metadata: author: AI Agentic Skills Team version: "1.0.0" compatibility: - system: Python 3.10+ allowed-tools: - read_file - gemini_vision_api --- A specialized sk...
Scanned 9/8/2026
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---
name: gemini-multimodal-medical-analysis
description: Analyzes multimodal medical inputs (X-ray, MRI, Pathology slides + Clinical notes) using Gemini.
keywords:
- multimodal
- radiology
- pathology
- vision
- gemini
- health-stack
measurable_outcome: Generates multimodal diagnostic insights in under 10 seconds.
license: MIT
metadata:
author: AI Agentic Skills Team
version: "1.0.0"
compatibility:
- system: Python 3.10+
allowed-tools:
- read_file
- gemini_vision_api
---
# Gemini Multimodal Medical Analysis
A specialized skill leveraging the **Gemini Health Stack** (e.g., Gemini 1.5 Pro) to analyze complex multimodal medical data, such as combining radiological imaging with structured EHR data.
## When to Use This Skill
* When the user provides both text (clinical history) and an image (X-ray, slide).
* For generating preliminary differential diagnoses from multimodal context.
* To extract specific biomarkers from stained pathology slides.
## Example Usage
**User**: "Analyze this chest X-ray (`patient_cxr.png`) along with the patient's EHR notes (`ehr.txt`) and flag any abnormalities."
**Agent Action**:
```bash
python3 Skills/Gemini_Health_Stack/Multimodal_Medical_Analysis/multimodal_agent.py --image "patient_cxr.png" --notes "ehr.txt"
```
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