What it does
MONAI is a toolkit for deep learning in healthcare imaging, such as CT and MRI scans. It is built on PyTorch, a popular AI programming toolkit.
It offers tools for preparing medical image data, ready-made network designs, ways to measure results, and support for training on many graphics cards.
Its aim is to give academic, industry and clinical researchers a shared foundation.
Who it's for
Medical imaging researchers and developers building AI for healthcare.
Can I use it without coding?
Developers only. It is a Python library for writing AI code. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Mac, Windows, Linux, Server
- Computer
- Works best on a powerful computer or one with a graphics card (GPU)
- Privacy
- Runs on your own device: your data stays with you
- API key
- Not needed
Try it
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (Apache-2.0): Permissive: free to use, change and share, including for business.
- More on staying safe
Where people are talking about it
- MONAI paperResearch paper · Nov 2022