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README.md
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title:
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sdk: streamlit
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short_description:
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---
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#
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- Image Quality Assessment
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- Research and Reference
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## How to Run
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1. **Setup Environment**
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```bash
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# Clone the repository
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git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
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cd ai_agent_tutorials/ai_medical_imaging_agent
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# Install dependencies
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pip install -r requirements.txt
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```
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2. **Configure API Keys**
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- Get Google API key from [Google AI Studio](https://aistudio.google.com)
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3. **Run the Application**
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```bash
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streamlit run ai_medical_imaging.py
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```
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## Analysis Components
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- **Image Type and Region**
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- Identifies imaging modality
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- Specifies anatomical region
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- **Key Findings**
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- Systematic listing of observations
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- Detailed appearance descriptions
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- Abnormality highlighting
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- **Diagnostic Assessment**
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- Potential diagnoses ranking
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- Differential diagnoses
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- Severity assessment
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- **Patient-Friendly Explanations**
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- Simplified terminology
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- Detailed first-principles explanations
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- Visual reference points
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## Notes
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- Uses Gemini 2.0 Flash for analysis
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- Requires stable internet connection
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- API usage costs apply
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- For educational and development purposes only
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- Not a replacement for professional medical diagnosis
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## Disclaimer
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This tool is for educational and informational purposes only. All analyses should be reviewed by qualified healthcare professionals. Do not make medical decisions based solely on this analysis.
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title: Health Care Imaging Diagnosis Agent
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sdk: streamlit
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short_description: HealthCare Imaging Diagnosis Agent
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# HealthCare Imaging Diagnosis Agent
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The HealthCare Imaging Diagnosis Agent, offers AI-assisted analysis of various medical imaging scans. Serving as an expert in medical imaging diagnosis, this agent provides detailed insights and explanations by analyzing different types of medical images and videos.
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Features
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Comprehensive Image Analysis
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Identification of Image Types (X-ray, MRI, CT scan, ultrasound)
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Detection of Anatomical Regions
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Key Findings and Observations
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Detection of Potential Abnormalities
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Assessment of Image Quality
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Research and Reference Support
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