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A newer version of the Streamlit SDK is available: 1.53.1

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metadata
license: apache-2.0
emoji: 🚀
colorFrom: blue
colorTo: green
pinned: true
title: Medical Imaging Diagnosis Agent
sdk: streamlit
short_description: Medical Imaging Diagnosis Agent

🩻 Medical Imaging Diagnosis Agent A Medical Imaging Diagnosis Agent build on phidata powered by Gemini 2.0 Flash Experimental that provides AI-assisted analysis of medical images of various scans. The agent acts as a medical imaging diagnosis expert to analyze various types of medical images and videos, providing detailed diagnostic insights and explanations.

Features Comprehensive Image Analysis Image Type Identification (X-ray, MRI, CT scan, ultrasound) Anatomical Region Detection Key Findings and Observations Potential Abnormalities Detection Image Quality Assessment Research and Reference How to Run Setup Environment

Clone the repository

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git cd ai_agent_tutorials/ai_medical_imaging_agent

Install dependencies

pip install -r requirements.txt Configure API Keys

Get Google API key from Google AI Studio Run the Application

streamlit run ai_medical_imaging.py Analysis Components Image Type and Region

Identifies imaging modality Specifies anatomical region Key Findings

Systematic listing of observations Detailed appearance descriptions Abnormality highlighting Diagnostic Assessment

Potential diagnoses ranking Differential diagnoses Severity assessment Patient-Friendly Explanations

Simplified terminology Detailed first-principles explanations Visual reference points Notes Uses Gemini 2.0 Flash for analysis Requires stable internet connection API usage costs apply For educational and development purposes only Not a replacement for professional medical diagnosis Disclaimer 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.