---
title: "MONAI - Success Stories"
description: "How healthcare institutions and industry partners run MONAI in production. Read real-world case studies and success stories."
canonical: https://project-monai.github.io/successstories.html
audience: [engineer]
last_updated: 2026-06-11
source: successstories.html
---
# Success Stories

Production deployments of MONAI across three continents: Mayo Clinic Florida integrating AI into clinical radiology, Siemens Healthineers distributing models through its Digital Marketplace, CAI2R adding MAP support to the mercure orchestrator, and NHS trusts deploying at scale with AIDE. Each story covers the integration pattern, what it took to ship, and what changed in the clinic.

Case Studies

## How Institutions Use MONAI

![Mayo Clinic](/assets/img/logos/mayo-clinic.png) Featured

### Pioneering Clinical AI Integration

Mayo Clinic Florida's Center for Augmented Intelligence in Imaging integrates MONAI-compatible AI models into clinical radiology workflows. Their infrastructure lets healthcare teams deploy imaging AI with minimal disruption to existing processes.

Key Achievement

Integrated with existing IT infrastructure

[Read Case Study](mayo-case-study.html)

 [![MONAI models running in the CAII clinical viewer at Mayo Clinic](/assets/img/figures/mayo-case-study-figure-3-thumb.jpg) Mayo Clinic Florida · CAII viewer](mayo-case-study.html)

 [![Mayo Clinic](/assets/img/logos/mayo-clinic.png) × ![Siemens Healthineers](/assets/img/logos/siemens.png) Scalable Deployment

### Mayo Clinic AI, Available to 10,000+ Institutions

MONAI-based tools built at one institution, distributed worldwide through the Siemens Healthineers Digital Marketplace. Researchers install them without writing code.

Key Achievement

10,000+ institutions enabled with 1-hour deployment](mayo-siemens-case-study.html) [![Siemens Healthineers](/assets/img/logos/siemens.png) Enterprise Integration

### Accelerating AI Integration at Enterprise Scale

MONAI Deploy integrated into Syngo Carbon and syngo.via. Healthcare providers install trained AI models from the Digital Marketplace in a few clicks.

Key Achievement

Deployment time cut from months to minutes](https://blogs.nvidia.com/blog/rsna-siemens-healthineers-monai-medical-imaging-ai/) [![mercure](/assets/img/logos/mercure.png) Open Source Platform

### Rapid MAP Deployment with DICOM Orchestration

CAI2R added MONAI Application Package support to the mercure DICOM Orchestrator: web-based configuration, monitoring, and routing for clinical AI.

Key Feature

Open-source DICOM orchestration with MAP support](https://monai.medium.com/rapid-deployment-of-monai-application-packages-maps-in-radiology-workflows-using-the-mercure-fe7cfd77acce) [![AI Centre for Value Based Healthcare](/assets/img/logos/aicentre.jpg) Clinical Platform

### Deploying AI Across the NHS with AIDE

The AI Centre's AIDE platform lets NHS trusts deploy AI models at scale: connected to patient records, with results delivered into clinical systems.

Key Innovation

Real-time AI analysis integrated with EPR systems](https://www.aicentre.co.uk/our-platforms#tab-1)

Get Involved

## Share Your Success Story

Are you running MONAI in production? We'd love to feature your implementation and share it with the community.

[Share Your Story](https://github.com/Project-MONAI/project-monai.github.io/issues)