FDA-cleared profile

TeraRecon Neuro

TeraRecon, Inc

The TeraRecon Neuro algorithm is an algorithm for use by trained professionals, including but not limited to physicians, surgeons and medical clinicians. The TeraRecon Neuro algorithm is a Stand-Alone Performance image processing software device that can be deployed as a Microsoft Windows executable on off-the-shelf hardware or as a containerized application (e.g., a Docker container) that runs on off-the-shelf hardware or on a cloud platform. Data and images are acquired via DICOM compliant imaging devices. DICOM results may be exported, combined with, or utilized by other DICOM-compliant systems and results. The TeraRecon Neuro algorithm provides analysis capabilities for functional, dynamic, and derived imaging datasets acquired with CT or MRI. It can be used for the analysis of dynamic brain perfusion image data, showing properties of changes in contrast over time. This functionality includes calculation of parameters related to brain tissue perfusion, vascular assessment, tissue blood volume, and other parametric maps with or without the ventricles included in the calculation. The algorithm also include volume reformat in various orientation, rotational MIP 3D batch while removing the skull. This 'tumble view' allows qualitative review of vascular structure in direct correlation to the perfusion maps for comprehensive review. The results of the TeraRecon Neuro algorithm can be delivered to the end-user through image viewers such as TeraRecon's Aquarius Intuition system, TeraRecon's Eureka AI Results Explorer, TeraRecon sEureka Clinical AI Platform, or other image viewing systems like PACS that can support DICOM results generated by the TeraRecon Neuro Algorithm. The TeraRecon Neuro algorithm results are designed for use by trained healthcare professionals and are intended to assist the physician in diagnosis, who is responsible for making all final patient management decisions.

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
The TeraRecon Neuro algorithm is an algorithm for use by trained professionals, including but not limited to physicians, surgeons and medical clinicians. The TeraRecon Neuro algorithm is a Stand-Alone Performance image processing software device that can be deployed as a Microsoft Windows executable on off-the-shelf hardware or as a containerized application (e.g., a Docker container) that runs on off-the-shelf hardware or on a cloud platform. Data and images are acquired via DICOM compliant imaging devices. DICOM results may be exported, combined with, or utilized by other DICOM-compliant systems and results. The TeraRecon Neuro algorithm provides analysis capabilities for functional, dynamic, and derived imaging datasets acquired with CT or MRI. It can be used for the analysis of dynamic brain perfusion image data, showing properties of changes in contrast over time. This functionality includes calculation of parameters related to brain tissue perfusion, vascular assessment, tissue blood volume, and other parametric maps with or without the ventricles included in the calculation. The algorithm also include volume reformat in various orientation, rotational MIP 3D batch while removing the skull. This 'tumble view' allows qualitative review of vascular structure in direct correlation to the perfusion maps for comprehensive review. The results of the TeraRecon Neuro algorithm can be delivered to the end-user through image viewers such as TeraRecon's Aquarius Intuition system, TeraRecon's Eureka AI Results Explorer, TeraRecon sEureka Clinical AI Platform, or other image viewing systems like PACS that can support DICOM results generated by the TeraRecon Neuro Algorithm. The TeraRecon Neuro algorithm results are designed for use by trained healthcare professionals and are intended to assist the physician in diagnosis, who is responsible for making all final patient management decisions.
Public source Exact FDA submission Checked 2026-09-01

Exact-submission indication text from the ACR AI Central model card. FDA labeling remains controlling.

Intended users
Trained professionals including but not limited to physicians, surgeons, and medical clinicians
Public source Exact FDA submission Checked 2026-09-01

Intended-user text reported in the exact-submission ACR model card.

Care setting and population
Research pending
Needs research Exact FDA submission Checked 2026-08-31

Confirm the intended care setting, patient population, and service line.

Workflow role
Measurement or quantification
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Required input
CT;MR images or data. Inclusion criteria: Functional, dynamic, and derived imaging datasets acquired with CT or MRI; dynamic brain perfusion image data acquired via DICOM compliant imaging devices
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Output and human action
Parametric maps of brain perfusion measurements including: time to peak (TTP), take off time (TOT), recirculation time (RT), mean transit time (MTT), blood volume (BV/CBV), blood flow (BF/CBF), time to maximum (Tmax), mismatch maps (penumbra/umbra maps derived from combinations of measurement parameters), hypoperfusion maps with volumes and ratios, and 2D and 3D visualization of brain tissues and brain blood vessels. Note: Tmax, mismatch and hypoperfusion maps are only available for CT modality images.
Public source Exact FDA submission Checked 2026-09-01

Clinical output reported in the exact-submission ACR model card.

Limitations
Scanner manufacturers: All
Public source Exact FDA submission Checked 2026-09-01

Limitations and supported-acquisition details reported in the exact-submission ACR model card.

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
K220349
FDA source Exact FDA submission Checked 2026-08-31
Modality
Radiological images; modality varies or is not specified in FDA list
Public source Exact FDA submission Checked 2026-09-01

Imaging modality reported in the exact-submission ACR AI Central model card.

Anatomy
Brain
Public source Exact FDA submission Checked 2026-09-01

Anatomy normalized from explicit exact-submission ACR model-card wording.

Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2022-08-12
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 exact-submission ACR model card explicitly references DICOM and PACS in the described input, output, or workflow; exact interfaces, versions, and local compatibility require confirmation.
Public source Exact FDA submission Checked 2026-09-01

Interoperability terms explicitly reported in the exact-submission ACR model card; interface versions and local compatibility still require confirmation.

Deployment and data flow
Cloud-based deployment is explicitly described in the exact-submission ACR model card; hosting region, data flow, and current commercial configuration require vendor confirmation.
Public source Exact FDA submission Checked 2026-09-01

Deployment mode explicitly reported in the exact-submission ACR model card; hosting region and current commercial configuration still require vendor confirmation.

Security and privacy
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

FDA authorization does not establish the current commercial security posture. Request data-flow diagrams, hosting and retention details, access controls, audit logging, attestations, and incident-response documentation.

Training and support
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Training, onboarding, competency, and support commitments are commercial implementation details that require current vendor documentation.

Monitoring and change control
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Local acceptance testing, production monitoring, drift review, update control, and incident escalation require a current vendor and site-specific governance plan.

Input or output interoperability

DICOM is explicitly referenced in the described input, output, or workflow.

exact submission · checked 2026-09-01

The model card does not establish every supported DICOM object, transfer method, or local interface.

Deployment model

Cloud-based deployment is explicitly described in the exact-submission ACR model card; hosting region, data flow, and current commercial configuration require vendor confirmation.

exact submission · checked 2026-09-01

Supported acquisition environment

Scanner manufacturers: All

exact submission · checked 2026-09-01

Confirm currently supported software versions, protocols, and site-specific acquisition configurations.

Evidence

Performance evidence

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

Evidence summary
Study type: Stand-Alone Performance. Reference standard: Interpretation by Reviewing Clinician
Public source Exact FDA submission Checked 2026-09-01

Structured study metadata from the exact-submission ACR model card; this is not an independent evidence synthesis.

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.

TeraRecon Neuro regulatory performance study summary

Stand-Alone Performance · Population described in the exact-submission ACR model card

exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K220349 · Independence not established

K220349

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 2026-08-13

FDA submission materials do not establish current commercial pricing. Request the pricing unit, term, minimum commitment, implementation fees, and included support from the vendor.

Reimbursement and coding
Research pending
Needs research Exact FDA submission Checked 2026-08-31

Determine whether any product-specific CPT/HCPCS pathway exists and separate it from billing for the underlying imaging service.

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
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-04

No native submission-identifier match was found in the checked openFDA radiology recall snapshot. Product-name, manufacturer, and adverse-event searches remain necessary; this does not establish that no recall or safety report exists.

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
2026-09-04Last searched
17Fields reviewed
6Source 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. 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, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-02.

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