FDA-cleared profile

Ceevra Reveal 3+

Ceevra, Inc.

Process, review, analyze, communicate, and exchange multidimensional CT or MR images, including preliminary segmentation of normal anatomy, for preoperative surgical planning and intraoperative display; healthcare professionals make all final patient-management decisions. Machine-learning algorithms are for adults aged 22 years and older, while images for patients under 22 or of unknown age are generated without machine learning.

Evidence status: each field shows source quality, applicability, and review date. Research pending, information not established in reviewed sources, and vendor documentation pending are distinct outcomes.

Clinical fit

What this tool is for

Start with the authorized purpose, then verify how it fits your service line and reading workflow.

Exact purpose
Process, review, analyze, communicate, and exchange multidimensional CT or MR images, including preliminary segmentation of normal anatomy, for preoperative surgical planning and intraoperative display; healthcare professionals make all final patient-management decisions. Machine-learning algorithms are for adults aged 22 years and older, while images for patients under 22 or of unknown age are generated without machine learning.
FDA source Exact FDA submission Checked 2026-09-08
Intended users
Healthcare professionals; company personnel generate the 3D images in the described service workflow
FDA source Exact FDA submission Checked 2026-09-08
Care setting and population
Healthcare facilities such as hospitals and clinics; machine-learning use is limited to adult patients aged 22 years and older
FDA source Exact FDA submission Checked 2026-09-08
Workflow role
3D CT/MR image generation and interactive review for preoperative planning and intraoperative display, with preliminary normal-anatomy segmentation and measurement support; the device is not integrated with surgical instruments for real-time guidance or navigation.
FDA source Exact FDA submission Checked 2026-09-08
Required input
Existing multidimensional digital images acquired from CT or MR imaging devices; patient age determines whether machine-learning algorithms are used, with no machine learning for patients under 22 or of unknown age.
FDA source Exact FDA submission Checked 2026-09-08
Output and human action
Three-dimensional images viewable through compatible mobile and desktop viewer applications, external displays, or compatible off-the-shelf VR headsets; users can manipulate the images, selectively show or hide anatomical structures, view measurements of or between structures, and review preliminary segmentations of normal anatomy.
FDA source Exact FDA submission Checked 2026-09-08
Limitations
Machine-learning algorithms are limited to adults aged 22 years and older; under-22 or unknown-age 3D images are generated without machine learning. Segmentations are preliminary and limited to normal anatomy, and the clinician retains final management responsibility. The device is not intended to provide semi-automated segmentation of abnormal anatomy or integrate with surgical instruments for real-time guidance/navigation; specific current interfaces and deployment are not established.
FDA source Exact FDA submission Checked 2026-09-08

Regulatory identity

FDA record and catalog context

The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.

FDA submission
K233568
FDA source Exact FDA submission Checked 2026-08-31
Modality
CT/CTA; MRI
FDA source Exact FDA submission Checked 2026-09-08
Anatomy
Multi-region normal anatomy represented in CT or MR images; validated examples include prostate, bladder, neurovascular bundles, kidney, artery, and vein
FDA source Exact FDA submission Checked 2026-09-08
Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2023-12-05
FDA source Exact FDA submission Checked 2026-08-31
FDA status
FDA-cleared
FDA source Exact FDA submission Checked 2026-08-31

Implementation

Questions for IT, informatics, and operations

Use these fields to structure a vendor demo, security review, and implementation estimate.

Integration
The FDA packet describes communication and media interchange of CT/MR images plus compatible mobile and desktop applications, external displays, and off-the-shelf VR headset viewing. It does not establish a specific current PACS, RIS, EHR, interface version, or deployment topology.
FDA source Exact FDA submission Checked 2026-09-08
Deployment and data flow
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-08

The reviewed sources do not establish the current exact-release hosting topology, data flow, region, tenancy, or disaster-recovery configuration.

Security and privacy
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-08

Exact-release security controls, data retention, hosting boundaries, and scoped assurance documentation require vendor confirmation.

Training and support
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-08

Current training prerequisites, competency checks, and support commitments for the exact configuration require vendor confirmation.

Monitoring and change control
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-08

Current drift, quality, uptime, alert, escalation, and incident-response commitments for the exact configuration require vendor confirmation.

ACR exact-submission catalog context

ACR AI Central provides an exact-submission model card for Ceevra Reveal 3+; FDA labeling remains controlling for clinical use, limitations, and performance.

exact submission · checked 2026-09-08

Evidence

Performance evidence

Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.

Evidence summary
FDA K233568 reports software verification and validation using 141 actual CT or MR imaging studies, with training and testing kept independent at the scanning-institution level. Four machine-learning models were compared with medical-professional segmentations: prostate DSC 0.87, bladder DSC 0.90, neurovascular-bundle HD-95 7.8 mm, kidney DSC 0.89 for CT abdomen and 0.87 for MR abdomen, artery DSC 0.87 for CT abdomen, 0.83 for MR abdomen, and 0.85 for CT chest, and vein DSC 0.86 for CT abdomen, 0.81 for MR abdomen, and 0.81 for CT chest. Volume, diameter, and two-point-distance measurements were verified within a mean difference of plus or minus 10%.
FDA source Exact FDA submission Checked 2026-09-08
Reported sensitivity
Research pending
Needs research Exact FDA submission Checked 2026-08-31

This field has not been curated yet.

Reported specificity
Research pending
Needs research Exact FDA submission Checked 2026-08-31

This field has not been curated yet.

No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.

Ceevra Reveal 3+ regulatory performance study summary

Stand-Alone Performance · Adult

exact submission · Tested version: 3 · n=141 · Independence not established

K233568

ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.

Economics and lifecycle

Budget and ongoing governance

These are common procurement questions; unknown values remain visible until a source supports them.

Pricing and total cost
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-08

No public price or quote for the exact K233568 configuration was established in this review.

Reimbursement and coding
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-08

No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.

Safety and lifecycle

Postmarket record

Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.

Postmarket safety review
The exact-identifier FDA recall query returned no native recall record for K233568. This limited result does not establish absence of recalls or other safety information and does not cover later versions, family records, MAUDE reports, corrections, or field notices.
Public source Exact FDA submission Checked 2026-09-08

Buyer worksheet

Open questions to take to the vendor

Open evaluation checklist

Research record

What has been checked

This audit distinguishes completed source review from fields that have not yet been researched.

Exact FDA record reviewedStatus
2026-09-08Last searched
20Fields reviewed
9Source classes checked
0Unreviewed PubMed leads
0Unreviewed trial leads
0Unreviewed FDA recall leads

Exact-submission ACR model-card fields were normalized under the current provenance rules; vendor and independent-study confirmation remain distinct. Exact FDA scope controls clinical claims. ACR provides bounded exact-submission catalog context. Candidate literature metadata remains a discovery queue until full-text identity, endpoint, population, and version review is completed. Automated exact-name discovery found 0 PubMed and 0 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, acr ai central product, fda device recall, literature index, trial registry, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-08.

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