FDA-cleared profile
Varian Medical Systems, Inc.
AI Segmentation version 2.0 generates initial CT organ-at-risk contours for head and neck, thorax, abdomen, and pelvis for review, editing, and approval in Eclipse.
Clinical details
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
Regulatory identity
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Implementation
Use these fields to structure a vendor demo, security review, and implementation estimate.
Public materials reviewed for this batch do not establish the complete security posture for the exact release. Request data-flow, identity, audit, encryption, retention, support-access, vulnerability-management, backup, and incident-response evidence.
Map the installed model, build, options, population, anatomy, inputs, and outputs to K211881 before acceptance.
exact submission · checked 2026-09-03Later product-family features are not evidence that this cleared release includes them.
Cloud web application integrated with Eclipse for contour export; validate DICOM routing, structure naming, image association, browser and identity controls, editing, approval, and downtime procedures.
exact submission · checked 2026-09-03Test representative identifiers, orientation, geometry, measurements, units, routing, failure handling, and round trips locally.
Use a signed local test set for the supported population and workflow. Include common and difficult cases, exclusions, acquisition variation, failed or low-quality inputs, reviewer overrides, and downstream effects. The application does not provide clinical decisions, medical advice, or treatment-plan evaluation. All contours require expert review, editing as needed, and physician approval; no animal or clinical study was performed.
exact submission · checked 2026-09-03Define stop-use, escalation, rollback, and revalidation triggers before production use.
Model capital and recurring cost against net staff time after review, throughput, repeat imaging or rework, room time, consumables, infrastructure, training, service, downtime, upgrade, and replacement costs.
product family · checked 2026-09-03Vendor productivity claims are scenario inputs, not guaranteed local savings.
Monitor by exact hardware, software and model version, patient population, anatomy, protocol, operator, input quality, output edits or overrides, failed studies, repeat acquisition or rework, downstream impact, downtime, incidents, recalls, and updates. Track the limits that matter for this product: The application does not provide clinical decisions, medical advice, or treatment-plan evaluation. All contours require expert review, editing as needed, and physician approval; no animal or clinical study was performed.
exact submission · checked 2026-09-03Revalidate after material software, hardware, model, protocol, interface, or clinical-policy changes.
Evidence
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version. Candidate literature without exact product and version linkage is not shown as product evidence.
Sensitivity is not the primary applicable endpoint for this acquisition, reconstruction, segmentation, planning, guidance, or quantitative-biomarker function. Use the task-specific endpoints and tested population reported below.
Specificity is not the primary applicable endpoint for this acquisition, reconstruction, segmentation, planning, guidance, or quantitative-biomarker function. Use the task-specific endpoints and tested population reported below.
80 %
K211881
Manufacturer evidence submitted for substantial equivalence; local clinical, technical, and workflow acceptance remains necessary.
Costs and setup
These are common procurement questions; unknown values remain visible until a source supports them.
No public list price for the exact cleared configuration was found. Obtain a written quote separating hardware or license basis, enabled features, implementation, interfaces, infrastructure, training, service, upgrades, renewal, consumables, and exit costs.
No separate named-product payment identified in reviewed public material
Centers for Medicare & Medicaid Services · United StatesBuild a local total-cost and value model; do not infer reimbursement from FDA clearance.
Safety and lifecycle
Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.
A zero-result exact-identifier search does not prove that no recall, correction, adverse-event report, or product-family safety signal exists.
Buyer worksheet
Research record
This audit distinguishes completed source review from fields that have not yet been researched.
Recovered from the prior exact-submission extraction and normalized under the current provenance rules. Exact FDA materials, current product-family sources, selected clinical literature, reimbursement context, and exact-identifier recall candidates were reviewed. Pricing, contracted services, enabled options, final security architecture, and local interoperability remain organization-specific evidence. Automated exact-name discovery found 20 PubMed and 5 ClinicalTrials.gov candidate records. Candidates require human product and version matching; zero candidates is not evidence that no studies exist. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.
Candidate leads remain unpublished until a human confirms the exact product and tested version.
Source classes: fda ai list, fda decision summary, reimbursement policy, fda device recall, pubmed, clinical trials, openfda device recall
Sources & history
Open the ledger for source dates, scope, and research-record updates.
Scope: regulatoryIdentity, purpose, modality, anatomy
Scope: regulatoryIdentity, modalityContext
Scope: evidenceDiscovery
Scope: evidenceDiscovery, studyStatus
Scope: recallDiscovery, nativeSubmissionMatching
Scope: reimbursement, radiationTherapyPaymentContext
Regulatory record
510(k)
Research record
human reviewed
Alternatives
Wisdom Technologies., Inc.
DeepContour uses deep-learning CT processing to generate editable organ contours and RTSTRUCT objects for selected adult radiation-treatment planning workflows, with quantitative...
GE Medical Systems, LLC
Auto Segmentation generates initial DICOM RT Structure Set contours for 40 organs or subregions from adult contrast or noncontrast CT across head and neck, thorax, abdomen, and...
RaySearch Laboratories AB (publ)
RayStation 12A is configurable software for radiation therapy and medical oncology that proposes treatment plans from user input. Authorized users may use reviewed and approved...
Varian Medical Systems, Inc.
AI Segmentation version 1.0 is a static, cloud-hosted web application that generates initial CT organ-at-risk contours for head and neck, thorax, abdomen, and pelvis for review...