Contour ProtégéAI
Overview
Contour ProtégéAI by MIM Software is an advanced AI auto-contouring solution designed for medical imaging, primarily within Radiation Oncology. It leverages machine learning algorithms to automatically segment anatomical structures and organs at risk (OARs) on CT and MR images. This tool aims to significantly enhance the efficiency and accuracy of radiation therapy treatment planning by reducing the time-consuming manual contouring process. It supports flexible deployment options, including both cloud-hosted and local installations, and integrates seamlessly into existing clinical workflows. Recent updates, such as Contour ProtégéAI+, introduce zero-click auto-contouring capabilities for structures like lymph nodes, further streamlining the planning process.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Next-generation segmentation utilizing deep learning algorithms
- Auto-segmentation begins immediately upon image reception
- Powered by MIMapp Catalystu2122 cloud-based platform
- No additional hardware required for deployment
- Pre-trained models, no need for user-contoured datasets
- Quick to deploy and scale for high patient volumes
- Supports both cloud-hosted and local deployment options
- Zero-click AI auto-contouring for specific structures (Contour Protu00e9gu00e9AI+)
- Generates head & neck and breast lymph node level structures, and OARs
- Results exported directly to Treatment Planning Systems (TPS) or MIM software
Use Cases
- Radiation oncology treatment planning and segmentation
- Enhancements for Molecular Radiotherapy (MRT)
- Aiding adaptive radiation therapy
- Transferring contours to radiation therapy treatment planning systems
- Archiving contours for patient follow-up and management
- Quantitative analysis of anatomical structures
What Physicians Need to Know
Leverage Contour Protu00e9gu00e9AI to significantly reduce the time spent on manual contouring, freeing up valuable time for more complex treatment planning, adaptive therapy assessments, and direct patient interaction. While the AI provides highly accurate initial contours, always maintain clinical oversight and review, making edits as necessary to ensure optimal patient care. Utilize its capabilities to standardize contouring practices across your department, potentially improving consistency and quality.
Contour Protu00e9gu00e9AI's vendor-neutral design and compatibility with major PACS and Treatment Planning Systems (TPS) like Eclipse, RayStation, Monaco, and Pinnacle ensure broad applicability. Its flexible deployment options (cloud or local) allow it to fit into diverse IT infrastructures, minimizing disruption during implementation. This broad integration capability makes it a versatile addition to most radiation oncology workflows.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Cloud-hosted and local deployment |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Contour ProtégéAI has received multiple FDA 510(k) clearances, including for updated contour models (version 4.0 and ProtégéAI+) for Radiation Oncology segmentation, additional structures, and enhancements for Molecular Radiotherapy. The FDA 510(k) premarket notification number K231765 was cleared on November 8, 2023. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
What the Web Says
Contour Protu00e9gu00e9AI, developed by MIM Software (a GE HealthCare Company), is an AI-powered auto-contouring software designed for radiation therapy planning. It aims to automate the time-intensive process of delineating anatomical structures on medical images, thereby improving efficiency and consistency in treatment planning. The software has received FDA 510(k) clearance and is recommended for use in England's National Health Service (NHS).
Overall: PositiveStrengths
- Significantly reduces the time needed for contouring organs-at-risk (OARs).
- Improves consistency and quality of contours compared to manual or atlas-based methods.
- Accurately delineates OARs for auto-segmentation tasks on CT images without user intervention.
- Can handle difficult cases with less contrast and more homogeneous borders, where atlas-based methods struggle.
- Integrates seamlessly into existing clinical workflows with minimal effort.
- FDA cleared with a predetermined change control plan for future updates and enhancements.
Limitations
- Some contours may still require minor editing or touch-ups by a physician.
- A minority of patients may still require manual contouring and more in-depth physician review.
- Performance can vary for certain organs, with the esophagus showing the worst performance in one study.
- Detailed information on the underlying AI method (neural network framework) is not readily available to the public.
- May not be available in all countries.
Based on reviews from: MIM Software, Oncology and Radiotherapy, PMC, YouTube, Medical Product Outsourcing (MPO), Applied Radiation Oncology
Last updated: 2026-07-18
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for Contour ProtégéAI.
Benefits of Contour Protu00e9gu00e9AI in a Clinical Setting
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Contour Protu00e9gu00e9AI: Contouring Consistency with AI
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Contour Protu00e9gu00e9AI: AI vs Atlas-Based Contouring
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Contour Protu00e9gu00e9AI: Using AI Auto-Contours Effectively
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Contour Protu00e9gu00e9AI: AI Auto Contouring as a Part of Your Therapy Planning Workflow
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MIM Software integration with VeraFormu00ae
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