kitio.aiAdded Nov 5, 2026
MONAI
FreeOpen-source framework for building medical imaging AI
What is MONAI?
MONAI is an open-source, PyTorch-based framework for deep learning on medical images such as CT, MRI and pathology slides. Researchers and hospital teams use it to label data, train models and package them for clinical use.
MONAI Core supplies imaging-specific data loaders, transforms, network architectures and metrics. MONAI Label adds AI-assisted annotation that plugs into viewers like 3D Slicer and OHIF, and a model zoo shares pretrained bundles for common tasks such as organ segmentation.
MONAI Deploy helps turn trained models into applications that can run inside hospital imaging workflows. The project began as a collaboration between NVIDIA and King's College London and is released under the Apache 2.0 license.
Features
- Medical imaging transforms and networks
- AI-assisted labeling
- Pretrained model zoo
- Clinical deployment tooling
- 3D Slicer and OHIF integration
Tags
Releases
+ Submit new release- Listed
MONAI was added to the directory.
Organization
Project MONAI
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Free
- Paid options from
- 100% free
Sponsored
Your AI tool here
A Featured launch puts your tool in this spot and on the home page for a week.
Top MONAI alternatives
View allLegal, finance & HR
FDA-cleared dental AI that reads X-rays and highlights findings
Legal, finance & HR
Radiology AI that flags fractures, chest findings and lung nodules
Legal, finance & HR
Medical imaging AI for diagnosis, surgery planning and follow-up
Legal, finance & HR
AI reporting and DICOM annotation tools for radiology
If you liked MONAI
- NicolabNew
Stroke care platform with AI triage of brain scans and team messaging
PaidLegal, finance & HR - RayscapeNew
AI that flags findings on chest X-rays and CT scans for radiologists
PaidLegal, finance & HRMade in Romania - RetinAINew
AI data platform for ophthalmology clinics and eye research
PaidLegal, finance & HRMade in Switzerland AI care coordination that detects strokes and alerts care teams
PaidLegal, finance & HRMade in United StatesClinical AI platform for stroke, cardiac and radiology imaging
PaidLegal, finance & HRMade in United States
Pros and cons
Pros
- Free and open source
- Built specifically for medical images
- Covers labeling through deployment
Cons
- Requires Python and deep learning skills
- No hosted service or support plan
- Clinical use still needs regulatory work
Prompts & results
No prompts yet. Add your own prompt and output to help others use this tool.
Share a prompt
Reviews
Q&A
What is MONAI?
MONAI is an open-source, PyTorch-based framework for deep learning on medical images such as CT, MRI and pathology slides. Researchers and hospital teams use it to label data, train models and package them for clinical use.
Is MONAI free for commercial projects?
Yes. It is released under the Apache 2.0 license, which allows commercial use.
What does MONAI Label do?
It speeds up annotation of medical scans by suggesting labels with AI inside viewers such as 3D Slicer and OHIF, and learns from your corrections.
How much does MONAI cost?
MONAI is 100% free.
Is there a free version of MONAI?
Yes. MONAI is completely free to use.
What are the main features of MONAI?
Medical imaging transforms and networks, AI-assisted labeling, Pretrained model zoo, Clinical deployment tooling, 3D Slicer and OHIF integration.
Who makes MONAI?
MONAI is made by Project MONAI.
What are the best alternatives to MONAI?
Popular alternatives include Pearl, AZmed, Infervision.