MedVision Insight

AI-assisted medical imaging interpretation support by Sharad Khare.

MedVision Insight is a Streamlit + Agno application that helps clinicians, students, and health-tech teams analyze uploaded medical images with structured AI outputs.

Features

Imaging modality and anatomical region inference
Structured findings and uncertainty notes
Differential considerations with confidence labels
Urgency flag section for possible red flags
Patient-friendly explanation section
Search-backed research context references

Quick start

cd medvision-insight
python -m venv .venv
# Windows
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
streamlit run app.py

API key setup

Add your Google Gemini API key in the Streamlit sidebar before analysis.

Important disclaimer

This project is for educational and workflow support purposes only.

It does not provide medical diagnosis, treatment planning, or emergency decision authority.

Always consult qualified healthcare professionals for clinical interpretation and patient care decisions.

Topics

Sharad KhareAI medical imaging assistantradiology AI analysisX-ray interpretation supportMRI AI assistantCT scan AI workflowGemini medical imagingStreamlit healthcare AI.

Who this is for

Health-tech teams prototyping imaging intelligence workflows
Medical students learning structured image interpretation
Clinicians exploring AI-assisted documentation support
Builders creating responsible healthcare AI tools

Use cases

Generate structured findings from uploaded medical images
Summarize differential considerations with uncertainty notes
Draft patient-friendly explanations of visual findings
Build educational medical imaging demos with Gemini

Author

Website: sharadkhare.in

License

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bash

cd medvision-insight
python -m venv .venv
# Windows
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
streamlit run app.py