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deploy.html
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<!DOCTYPE html>
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<head>
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<h2 class="mb-6 section-heading">MONAI Deploy</h2>
<div class="w-full sm:3/5 pb-4">
<p class="py-2">MONAI Deploy aims to become the de-facto standard for developing packaging, testing, deploying, and running medical AI applications in clinical production. MONAI Deploy creates a set of intermediate steps where researchers and physicians
can build confidence in the techniques and approaches used with AI — allowing for an iterative workflow until the overall AI inference infrastructure is ready to move to clinical environments.</p>
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<a class="brand-btn" href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/stable/getting_started/index.html" target="_blank">Getting Started </a>
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<h2 class="text-brand-primary font-semibold">Install:</h2>
<p class="code p-4 bg-neutral-lightgray w-96">$ pip install monai-deploy-app-sdk</p>
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<h2 class="text-brand-primary text-4xl font-bold ">AI Deployment Workflow</h2>
<p class="py-4 ">
MONAI Deploy provides all the pieces for an enterprise-ready deployment pipeline. You can also use each piece that you need and integrate it in to your own workflow.
</p>
</div>
<div class="pb-16 hidden sm:block">
<img class="mx-auto" src="assets/img/MONAI Deploy Architecture.png" />
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<div class="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-4 gap-x-8 gap-y-8">
<div class="text-center p-4 border-2 border-brand-primary rounded-3xl">
<h2 class="text-xl font-bold pb-4"><span class="text-brand-primary font-bold text-xl">1. </span>App Development</h2>
<h3 class="text-lg font-bold pb-4 text-brand-primary">Develop a MONAI Application Package</h3>
<p class="pb-6">A Pythonic SDK to build deploy-ready AI Apps in Healthcare</p>
<div class="text-brand-primary font-bold"><a href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/stable/index.html" target="_blank"> Learn More > </a></div>
</div>
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<h2 class="text-xl font-bold pb-4"><span class="text-brand-primary font-bold text-xl">2. </span>Inference Service</h2>
<h3 class="text-lg font-bold pb-4 text-brand-primary">Application Server to run your MAPs</h3>
<p class="pb-6">RESTful service which will allow other users to make inference requests with our MAP using HTTP</p>
<div class="text-brand-primary font-bold"><a href="https://github.com/Project-MONAI/monai-deploy/tree/main/deploy/monai-deploy-express" target="_blank"> Learn More > </a></div>
</div>
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<h2 class="text-xl font-bold pb-4"><span class="text-brand-primary font-bold text-xl">3. </span>Workflow Manager</h2>
<h3 class="text-lg font-bold pb-4 text-brand-primary">Orchestrates based on the clinical workflow</h3>
<p class="pb-6">Central hub for the MONAI Deploy Platform</p>
<div class="text-brand-primary font-bold"><a href="https://github.com/Project-MONAI/monai-deploy-workflow-manager" target="_blank"> Learn More > </a></div>
</div>
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<h2 class="text-xl font-bold pb-4"><span class="text-brand-primary font-bold text-xl">4. </span>Informatics Gateway</h2>
<h3 class="text-lg font-bold pb-4 text-brand-primary">Facilitates I/O for DICOM and FHIR</h3>
<p class="pb-6">Connects AI Applications to Healthcare Information Systems</p>
<div class="text-brand-primary font-bold"><a href="https://github.com/Project-MONAI/monai-deploy-informatics-gateway" target="_blank"> Learn More > </a></div>
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<h2 class="text-brand-primary text-4xl font-bold ">Used Around the World</h2>
<p class="py-4 ">
MONAI Deploy is used throughout the world and at some of the largest and well-known Medical Research Centers. Learn more about how those companies are using MONAI Deploy in their workflow today.
</p>
</div>
<h2 class="font-bold text-2xl pb-8">Use Cases:</h2>
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<img class="object-contain p-8" src="assets/img/aicenter_large.jpg">
</div>
<h3 class="text-lg font-bold pt-4">AI Centre for Value Based Healthcare</h3>
<h3 class="text-lg font-bold text-brand">AIDE</h3>
<p class="pb-4">AIDE, the AI Deployment Engine, is an intelligent tool that allows healthcare providers to deploy AI models safely, effectively, and efficiently by enabling the integration of AI models into clinical workflows.</p>
<a class="brand-btn" href="https://aicentre.co.uk/platforms#view1" target="_blank">Read More</a>
</div>
<div class="p-6 shadow-lg rounded-sm border-2 border-neutral-lightgray bg-neutral-purewhite">
<div class="aspect-w-3 aspect-h-2">
<img class="object-contain p-8" src="assets/img/aicenter_large.jpg">
</div>
<h3 class="text-lg font-bold pt-4">AI Centre for Value Based Healthcare</h3>
<h3 class="text-lg font-bold text-brand">FLIP</h3>
<p class="pb-4"> FLIP, Federated Learning Interoperability Platform, ensures a high level of fidelity in AI output models compared to traditional aggregative data strategies because the data it trains on does not need to be anonymized before use.</p>
<a class="brand-btn" href="https://aicentre.co.uk/platforms#view2" target="_blank">Read More</a>
</div>
<div class="p-6 shadow-lg rounded-sm border-2 border-neutral-lightgray bg-neutral-purewhite">
<div class="aspect-w-3 aspect-h-2">
<img class="object-contain p-8" src="assets/img/mayo_clinic_logo_hq.png">
</div>
<h3 class="text-lg font-bold pt-4">Mayo Clinic</h3>
<h3 class="text-lg font-bold text-brand">CAII</h3>
<p class="pb-4"> CAII, the Center for Augmented Intelligence in Imaging, at Mayo Clinic Florida has developed compatible infrastructure and software packages for seamless integration of imaging AI models into Radiology workflows with MONAI.</p>
<a class="brand-btn" href="mayo-case-study.html">Read More</a>
</div>
<div class="p-6 shadow-lg rounded-sm border-2 border-neutral-lightgray bg-neutral-purewhite">
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<img class="object-contain p-8" src="assets/img/mercure_logo.png">
</div>
<h3 class="text-lg font-bold pt-4">mercure</h3>
<p class="pb-4">mercure, an open-source DICOM orchestrator that seamlessly integrates MONAI Application Packages (MAPs), streamlining the deployment of AI models for clinical integration.</p>
<a class="brand-btn" href="https://monai.medium.com/fe7cfd77acce?source=friends_link&sk=894711683f40c61b1116fc5097a24b0a">Read More</a>
</div>
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<h2 class="text-brand-primary text-4xl font-bold ">Get Involved in the Community</h2>
<p class="py-4 ">
Below are ways that you can start using, contributing, and interacting with other members of the MONAI Core community!
</p>
</div>
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<div class="text-center p-6 shadow-lg rounded-sm border-2 border-neutral-lightgray">
<h3 class="text-lg font-bold pb-4 text-brand-primary">GitHub</h3>
<p class="pb-4">Start contributing to the MONAI Core repo by submiting a bug, requesting a feature, or starting a discussion today!</p>
<div class="flex flex-wrap justify-center"><a class="brand-btn" href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/latest/introduction/contributing.html" target="_blank"> Contribute</a></div>
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<h3 class="text-lg font-bold pb-4 text-brand-primary">Tutorials</h3>
<p class="pb-4">We have Jupyter Notebooks on how to get started with MONAI Deploy App SDK, creating your first classifier, setting up and deplying on MONAI Inference Service, and creating a segmentation app that consumes a MONAI Bundle.</p>
<div class="flex flex-wrap justify-center"><a class="brand-btn" href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/latest/getting_started/index.html" target="_blank"> Get Started</a></div>
</div>
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<h3 class="text-lg font-bold pb-4 text-brand-primary">Slack</h3>
<p class="pb-4">Having trouble? Trying to find out where to contribute? Wnat to share your cool project? Join our MONAI Slack and chat with the community.</p>
<div class="flex flex-wrap justify-center"><a class="brand-btn" href="https://forms.gle/QTxJq3hFictp31UM9" target="_blank"> Socialize</a></div>
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<h3 class="text-lg font-bold pb-4 text-brand-primary">Documentation</h3>
<p class="pb-4">Ready to get started using MONAI Core? You can find all of our documentation to help get you started or answer any of your questions!</p>
<div class="flex flex-wrap justify-center"><a class="brand-btn" href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/latest/" target="_blank"> Deep Dive</a></div>
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