# AI in CardioVascular Medicine Laboratory (AI-CVM)

**Bern University Hospital · Switzerland**

We build state-of-the-art machine learning and deep learning for cardiovascular disease. Our work spans multimodal data — medical images across modalities, signals, video, electronic health records, text, and omics — to tackle a broad range of clinical questions.

🌐 [Website](https://ai-cvm.org/) · 💻 [GitHub](https://github.com/AI-in-Cardiovascular-Medicine)

## What we release here
Open datasets, model weights, and tools for reproducible cardiovascular AI research.

## Featured projects
- **CCT-FM** — Foundation model and the largest comprehensive expert-annotated cardiac CT segmentation dataset (14 structures).
- **CTAug** — CT-specific augmentation library (metal, motion, calcification, wire artifacts).
- **nnUZoo** — Unified benchmark of CNN vs. Transformer vs. Mamba for medical image segmentation.
- **HolOrama** — GUI for cardiac IVUS, OCT, and CT segmentation and editing.
- **AAOCA** — Detection and classification of anomalous aortic origin of coronary arteries in CCTA.

## Get in touch
Interested in collaborating? Visit [ai-cvm.org](https://ai-cvm.org/) or explore our [repositories](https://github.com/AI-in-Cardiovascular-Medicine).