Add MONAI to ROCm-LS

.wordlist.txt

@@ -45,6 +45,7 @@ Markowitz
 cuDF
 hipCIM
 cuCIM
+MONAI
 transformative
 latencies
 ACEs

docs/index.md

@@ -156,6 +156,20 @@ The AMD Instinct Documentation site provides comprehensive guides and technical
 </p>
 :::
 
+:::{grid-item-card}
+:padding: 1
+:img-top: ./images/MONAI.jpg
+:class-img-top: small-sd-card-img-top
+:class-body: small-sd-card
+:class: small-sd-card
++++
+<a href=./life-science/MONAI.html class="card-header-link">
+  <h2 class="card-header">MONAI</h2>
+</a>
+<p class="paragraph"> Train and deploy AI and computer vision models for medical imaging use cases on AMD Instinct™ GPUs.
+</p>
+:::
+
 :::{grid-item-card}
 :padding: 1
 :img-top: ./images/ROCm-LS_Blogs.jpg

docs/life-science/MONAI.md

@@ -0,0 +1,45 @@
+# 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.
+
+::::{grid} 2 2 2 2
+
+:::{grid-item-card}
+:padding: 1
+:img-top: ../images/ROCm-LS_Docs.jpg
+:class-img-top: small-sd-card-img-top
+:class-body: small-sd-card
+:class: small-sd-card
++++
+<a href="https://rocm.docs.amd.com/projects/monai/en/latest/" class="card-header-link">
+  <h2 class="card-header">Documentation</h2>
+</a>
+<p class="paragraph"> Installation instructions, supported features, and information on the MONAI model zoo can all be found on the ROCm Documentation site.
+</p>
+:::
+
+:::{grid-item-card}
+:padding: 1
+:img-top: ../images/MONAI.jpg
+:class-img-top: small-sd-card-img-top
+:class-body: small-sd-card
+:class: small-sd-card
++++
+<a href="https://github.com/ROCm-LS/monai" class="card-header-link">
+  <h2 class="card-header">Github</h2>
+</a>
+<p class="paragraph"> View the source code for MONAI on AMD on Github.
+</p>
+:::
+
+::::

docs/life-science/index.md

@@ -28,6 +28,20 @@ scientific innovation with ROCm-LS and realize the full potential of your resear
 .</p>
 ::::
 
+::::{grid-item-card}
+:padding: 1
+:img-top: ../images/MONAI.jpg
+:class-img-top: small-sd-card-img-top
+:class-body: small-sd-card
+:class: small-sd-card
++++
+<a href=./MONAI.html class="card-header-link">
+  <h2 class="card-header">MONAI</h2>
+</a>
+<p class="paragraph"> AI and deep learning for medical imaging use cases on AMD Instinct™ GPUs.
+.</p>
+::::
+
 ::::{grid-item-card}
 :padding: 1
 :img-top: ../images/ROCm-LS.jpg

docs/sphinx/_toc.yml.in

@@ -28,6 +28,9 @@ subtrees:
         - entries:
           - file: life-science/hipCIM.md
             title: hipCIM
+        - entries:
+          - file: life-science/MONAI.md
+            title: MONAI
     - file: isv-apps/index.md
       title: Simulation & Modeling Apps        
       subtrees: