Automatic labeling, visualization, and volumetric quantification of segmentable brain structures from MR images, with optional comparison of volumetric data to reference percentile data; a support tool for structural-MRI assessment.
Evidence status: each field states its source quality, applicability, and review date. Research pending, information not established, and vendor documentation pending remain distinct outcomes.
Clinical details
What this tool is for
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
Exact purpose
Automatic labeling, visualization, and volumetric quantification of segmentable brain structures from MR images, with optional comparison of volumetric data to reference percentile data; a support tool for structural-MRI assessment.
Segmented images with color overlays, volumetric measurements, morphometric reports, reference-percentile comparisons, a dedicated GUI for reviewing measures, a printable PDF report, and DICOM output displayable on DICOM workstations and PACS.
Results must be reviewed by a trained physician. Automated quality controls include tissue-contrast checks and scan-protocol verification; the FDA packet establishes a support tool and segmentation/measurement evidence, not a diagnostic-outcome claim.
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Use these fields to structure a vendor demo, security review, and implementation estimate.
Integration
Installed Windows software on off-the-shelf hardware with DICOM input/output, a dedicated GUI, and reports displayable on DICOM workstations and PACS; the FDA packet does not establish current cloud hosting.
Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.
ACR AI Central provides an exact-submission model card for Neurophet AQUA; 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. Candidate literature without exact product and version linkage is not shown as product evidence.
Evidence summary
FDA performance testing used 300 T1-weighted scans from 10 scanner types for training, 64 T1 scans for accuracy, and 50 repeated T1 scans for reproducibility, with testing separate from training. Dice coefficients were 80-90% for major subcortical structures and 75-85% for major cortical regions; mean percentage absolute volume differences for major subcortical structures were 1-5%. These are segmentation-agreement and reproducibility endpoints, not sensitivity, specificity, or AUC.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
Neurophet AQUA regulatory performance study summary
DesignStand-Alone Performance
PopulationPopulation described in the exact-submission ACR model card
Scopeexact submission
Tested versionExact product version not reported; regulatory study summarized for FDA submission K220437
Samplen=114
IndependenceIndependence not established
K220437
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 2026-09-09
No public price or quote for the exact K220437 configuration was established in this review.
Reimbursement and coding
Not established in reviewed sources
Reviewed sources checked
Exact FDA submission
Checked 2026-09-09
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 K220437. 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.
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 K220437 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
2026-09-09Last searched
22Fields reviewed
9Source classes checked
6Awaiting review PubMed leads
0Awaiting review 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 6 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 & history
How this profile was documented
Open the ledger for source dates, scope, and research-record updates.
View source ledger and history7 sources - 2 history items
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