MONAI Logo

Medical Open Network
for Artificial Intelligence

Empowering healthcare innovation through open-source AI frameworks that bridge research and clinical deployment

Transforming Healthcare with AI

Project MONAI is revolutionizing medical imaging through a comprehensive ecosystem of AI tools. Our mission is to bridge the gap between research innovation and clinical implementation, providing enterprise-grade solutions that accelerate the advancement of healthcare technology.

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Downloads
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Research Papers
31
Pre-trained Models
17
Challenge Wins

PyTorch Native

Built on PyTorch for seamless integration and flexibility

Research Ready

Advanced tools for medical AI research

Standardized

Best practices for healthcare AI development and research

Community Driven

Supported by global healthcare experts

Innovation Focused

Cutting-edge AI architectures and methods

Open Source Design

Apache 2.0 licensed for maximum flexibility and collaboration

End-to-End Medical AI Lifecycle

From data annotation to clinical deployment, MONAI provides a comprehensive toolkit that ensures quality and consistency at every stage of the medical AI development process.

MONAI Label

Intelligent image annotation powered by AI assistance.

  • Active learning for efficient data selection
  • Multiple viewer integrations
  • AI-Assisted annotation
  • Multi-user collaboration support

MONAI Core

Domain-specific framework for training state-of-the-art medical imaging AI models.

  • Medical-specific transforms
  • UNETR architecture
  • Pre-trained model zoo
  • Automated ML pipelines

MONAI Deploy

Robust framework for deploying AI models in clinical settings.

  • Clinical workflow integration
  • DICOM & FHIR support
  • Containerized deployment with MAP
  • Inference optimization

Success Stories

Discover how leading healthcare institutions and industry partners are implementing MONAI to transform medical imaging workflows.

Mayo Clinic Logo

AI Integration in Clinical Imaging

The Center for Augmented Intelligence in Imaging at Mayo Clinic Florida demonstrates seamless integration of MONAI-compatible AI models into clinical Radiology workflows. Their implementation has enhanced operational efficiency, improved decision-making processes, and led to better patient outcomes through streamlined clinical workflows.

Mercure Logo

Rapid Deployment with Mercure DICOM

The integration of MONAI Application Packages (MAPs) with the Mercure DICOM Orchestrator has revolutionized AI deployment in clinical environments. This partnership delivers seamless DICOM integration, comprehensive monitoring capabilities, and a flexible routing system that adapts to various clinical workflows.

Siemens Healthineers Logo

Digital Marketplace Integration

Siemens Healthineers has transformed healthcare delivery by adopting MONAI Deploy for their Digital Marketplace. This integration enables enterprise-scale deployment across their global healthcare network, providing standardized AI deployment solutions that benefit healthcare providers worldwide.

Contributors

Over the last three years our community has expanded rapidly! But it takes a community to build out the success of Project MONAI, which is why we want to highlight contributing organizations. Below, you'll find contributors organizations who have dedicated resources to actively contributing back to Project MONAI.

Answer Digital
CAS
DKFZ
FNLCR
Guy's and St Thomas'
King's College London
Kitware
Mayo Clinic
MGH & BWH
MSKCC
NIH NCI
NVIDIA
Stanford
TUM
UCL
Vanderbilt
Warwick