Medical imaging and radiology
Aidoc
Clinical AI platform for radiology and enterprise imaging workflows.
Last updated: June 5, 2026
Back to directoryMVision Contour+ medical AI product profile
Radiotherapy auto-contouring software that generates CT and MR segmentation templates for trained clinicians to review, edit, and approve.
Medical imaging and radiology
Best fit
Radiation oncology programs that want guideline-based segmentation coverage across major anatomical sites and can commission local clinician-review workflows.
- Primary use case
- AI-powered auto-contouring, guideline-based organ-at-risk and lymph-node segmentation, CT and MR contour templates, and treatment-planning workflow acceleration
- Audience
- Radiation oncology departments, dosimetrists, medical physicists, treatment-planning teams, and oncology AI governance committees
- Risk level
- High
- Pricing signal
- Enterprise radiotherapy pricing; verify current Contour+, GBS, Workspace+, deployment model, support, and regional availability.
- Official sources
- 4 official sources
Compare within workflow: Medical imaging and radiology · comparison shortlist · source index
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating MVision Contour+ as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat as high-risk radiotherapy image-analysis software and verify the exact FDA record, version, CT/MR scope, anatomy, intended users, and real-time adaptive planning exclusions. |
|---|---|
| Privacy | Review cloud versus local deployment, DICOM transfer, pseudonymization, TLS encryption, support access, retention, BAA terms, and whether images or contours are reused for model development. |
| Evidence | Commission by cancer site, scanner, CT and MR protocol, contouring guideline, outlier anatomy, edit burden, and plan-quality impact before relying on vendor time-saving claims. |
| Workflow | Best governed as an initial contour-template generator with radiation oncologist review, dosimetrist editing, physicist QA, exception handling, and fallback manual contouring. |
Where MVision Contour+ fits
MVision describes Contour+ as AI-powered radiotherapy auto-segmentation for organs-at-risk and lymph-node areas, delivered through Workspace+ and GBS workflows; FDA summaries for Contour+ state that CT and MR contours are initial templates that qualified professionals must visualize, review, modify, and approve before clinical use.
Not for: Lesion or tumor detection, real-time adaptive planning, unreviewed contour acceptance, or use outside the currently cleared modality, anatomy, geography, and labeling.
What to verify before using MVision Contour+
- Current FDA 510(k), CE or local regulatory status, Contour+ version, supported CT and MR models, structure library, and geography.
- Whether cloud, local, Workspace+, GBS, Guide, or Verify modules are included and how contours move into the treatment-planning system.
- How DICOM image data, structure sets, pseudonymization, encryption, support access, retention, audit logs, and BAA or data-processing terms are handled.
- Local commissioning results for each disease site, scanner protocol, MR sequence, image artifact, lymph-node region, physician edit burden, and downstream plan-quality effect.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
- mvision.ai / contour
- mvision.ai / guideline-based-segmentation
- mvision.ai / gbs-fda-510k-clearance
- www.accessdata.fda.gov / cdrh_docs / pdf24
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