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
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
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
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
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
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
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
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
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.
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
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.
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
Verify deployment and data flow: The reviewed sources do not establish the current exact-release hosting topology, data flow, region, tenancy, or disaster-recovery configuration.
Verify security and privacy controls: Exact-release security controls, data retention, hosting boundaries, and scoped assurance documentation require vendor confirmation.
Verify training: Current training prerequisites, competency checks, and support commitments for the exact configuration require vendor confirmation.
Verify pricing and total cost: No public price or quote for the exact K233568 configuration was established in this review.
Verify reimbursement and coding relevance: No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.
Verify local validation and lifecycle monitoring: Current drift, quality, uptime, alert, escalation, and incident-response commitments for the exact configuration require vendor confirmation.
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
View, post-process, and qualitatively and quantitatively evaluate cardiovascular MR and CT images in DICOM format to obtain diagnostic information as part of a comprehensive...
Modality
CT/CTA; MRI
Anatomy
Cardiovascular system; heart, coronary and adjacent vessels, and cardiac valves
Create, review, analyze, annotate, export, and use 3D cardiac models to support reading, reporting, and therapeutic-intervention planning.
Modality
CT/CTA; MRI
Anatomy
Cardiac structures, including the aorta, atria, ventricles, pulmonary artery trunk, and right atrium/inferior vena cava structures described in the FDA performance table
Contour ProtégéAI+ automatically creates contours on CT and T2 MR DICOM images as an accessory to MIM software for quantitative analysis, adaptive therapy, transfer, and archive;...
Modality
Radiotherapy Planning Imaging
Anatomy
CT anatomical regions; prostate, seminal vesicles, and urethra on T2 MR