MediScan

MediScan: AI-powered bone fracture detection system achieving 99.8% accuracy through deep learning. Features real-time X-ray analysis, transparent Grad-CAM visualizations, and clinical integration tools. Built with Python/FastAPI backend and responsive HTML/CSS frontend, making advanced medical diagnostics more accessible to healthcare providers.

web-application

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37 Stars

6 Forks

37 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$73.5K

Market Value

$141.5K

How is this calculated?

Growth over time

3 data points · 2026-04-09 → 2026-04-24

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What is the alok-devforge/MediScan GitHub project? Description: "MediScan: AI-powered bone fracture detection system achieving 99.8% accuracy through deep learning. Features real-time X-ray analysis, transparent Grad-CAM visualizations, and clinical integration tools. Built with Python/FastAPI backend and responsive HTML/CSS frontend, making advanced medical diagnostics more accessible to healthcare providers.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone MediScan

Clone via HTTPS

git clone https://github.com/alok-devforge/MediScan.git

Clone via SSH

[email protected]:alok-devforge/MediScan.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the MediScan issue tracker:

Open GitHub Issues

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