# MONAI

The Medical Open Network for Artificial Intelligence ([MONAI](https://monai.io/)) is a domain-optimized,
open-source framework based on PyTorch designed to facilitate deep learning for medical images. The
[MONAI Model Zoo](https://monai.io/model-zoo.html#/) contains a variety of biomedical imaging models that
may be deployed or fine-tuned to suit your purposes.

MONAI provides out-of-the-box integration with hipCIM, enabling researcher and healthcare professionals to
streamline scientific imaging pipelines, boost computation performance, and speed up innovation across a
wide array of healthcare use cases.

MONAI support for AMD is currently in an Early Access state and is intended as a preview to the upcoming
production ready release.

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<a href="https://rocm.docs.amd.com/projects/monai/en/latest/" class="card-header-link">
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<p class="paragraph"> Installation instructions, supported features, and information on the MONAI model zoo can all be found on the ROCm Documentation site.
</p>
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<a href="https://github.com/ROCm-LS/monai" class="card-header-link">
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<p class="paragraph"> View the source code for MONAI on AMD on Github.
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