# MONAI — Medical Open Network for AI

> MONAI is the PyTorch-based, foundation-supported open-source framework for medical
> imaging AI. Used by hospitals, med-device companies, and academic medical centers
> worldwide for segmentation, classification, registration, generative imaging,
> federated learning, and clinical deployment.

## Start here
- [What is MONAI](https://project-monai.github.io/index.md): Project overview, who uses it, and why
- [Tutorials](https://project-monai.github.io/tutorials.md): Curated end-to-end walkthroughs

## Frameworks
- [MONAI Core](https://project-monai.github.io/core.md): Install and quick start, transforms, networks, losses, metrics, inferers
- [MONAI Label](https://project-monai.github.io/label.md): Active-learning annotation server
- [MONAI Deploy](https://project-monai.github.io/deploy.md): App SDK for clinical deployment
- [Model Zoo](https://project-monai.github.io/model-zoo.md): Pre-trained MONAI Bundles

## Community & governance
- [About MONAI](https://project-monai.github.io/about.md): Mission, governance, sponsors
- [Working Groups](https://project-monai.github.io/working-groups.md): How the project is organized
- [Success Stories](https://project-monai.github.io/successstories.md): Who runs MONAI in production
- [Mayo Clinic case study](https://project-monai.github.io/mayo-case-study.md): CAII clinical AI integration: infrastructure, MAPs, in-workflow deployment
- [Mayo Clinic and Siemens case study](https://project-monai.github.io/mayo-siemens-case-study.md): Distributing MONAI applications to 10,000+ institutions via the Siemens Digital Marketplace

## Citation
- [How to cite](https://project-monai.github.io/cite.md): BibTeX for MONAI papers