FDA-cleared profile

ClariCT.AI

ClariPI Inc.

ClariCT.AI assists radiologists and specialists by denoising and enhancing DICOM CT images of the head, chest, heart, and abdomen, including low-dose filtered-back-projection and iterative-reconstruction images, and transmitting processed images to a PACS workstation.

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
ClariCT.AI assists radiologists and specialists by denoising and enhancing DICOM CT images of the head, chest, heart, and abdomen, including low-dose filtered-back-projection and iterative-reconstruction images, and transmitting processed images to a PACS workstation.
FDA source Exact FDA submission Checked 2026-09-05
Intended users
Radiologists and specialists.
FDA source Exact FDA submission Checked 2026-09-05
Care setting and population
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

CT-to-PACS use is described, but exhaustive patient-age and care-setting eligibility were not established in the reviewed text.

Workflow role
Post-processing analysis
FDA source Exact FDA submission Checked 2026-09-05
Required input
DICOM CT images, including low-dose filtered-back-projection and iterative-reconstruction images from any CT scanner manufacturer/model within the labeled CT workflow.
FDA source Exact FDA submission Checked 2026-09-05
Output and human action
Denoised and enhanced CT DICOM images transmitted to a PACS workstation.
FDA source Exact FDA submission Checked 2026-09-05
Limitations
The indication is processing and enhancement of CT DICOM images; manufacturer neutrality is stated in the FDA indication.
FDA source Exact FDA submission Checked 2026-09-05

No lesion-detection indication or uniform dose-reduction benefit is inferred. Predicate Zia restrictions in the comparison table are not copied as ClariCT.AI labeling.

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
K183460
FDA source Exact FDA submission Checked 2026-08-31
Modality
CT/CTA
FDA source Exact FDA submission Checked 2026-09-05
Anatomy
Head, chest, heart, and abdomen
FDA source Exact FDA submission Checked 2026-09-05

Explicit FDA device description broadens the baseline's cardiovascular-only normalization.

Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2019-06-13
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
Receives DICOM CT images, performs denoising/enhancement, and transmits images to a PACS workstation.
FDA source Exact FDA submission Checked 2026-09-05

Specific service classes and local PACS versions require conformance documentation.

Deployment and data flow
On-premise
Public source Product family Checked 2026-09-05

The baseline on-premises option is supported by current vendor desktop-PC installation information. Embedded and cloud options are also described at family scope; exact 2019 configuration linkage remains unresolved.

Security and privacy
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

No dated, scoped attestation was reviewed. PHI handling, image-cache retention, access control, audit, and incident-response terms remain unverified.

Training and support
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

Current protocol/noise-setting training and support commitments were not established.

Monitoring and change control
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-09-05

Dose/protocol-specific acceptance, original/processed image review, update control, and escalation require a site/vendor plan; these are editorial evaluation needs.

CT-to-PACS processing

Receives and denoises CT DICOM images and sends processed images to a PACS workstation.

exact submission · checked 2026-09-05

Current installation options

The vendor describes standalone desktop-PC use, embedding in CT/PACS systems, and cloud-based distribution/deployment.

product family · checked 2026-09-05

Not tied to the 2019 release or a current contract. Specific hardware, networking, and privacy requirements remain unverified.

Evidence

Performance evidence

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

Evidence summary
The FDA summary describes nonclinical system, performance, phantom, and risk-based safety testing and states clinical studies were not required to demonstrate substantial equivalence.
FDA source Exact FDA submission Checked 2026-09-05
Reported sensitivity
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-05

No exact-submission lesion-detection sensitivity with population, endpoint, and threshold was established; denoising quality is not sensitivity.

Reported specificity
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-05

No exact-submission lesion-detection specificity with population, endpoint, and threshold was established.

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

ClariCT.AI K183460 nonclinical verification and validation

Nonclinical system, performance, phantom, and safety testing · Phantom and software inputs; clinical participant count not reported

exact submission · Tested version: ClariCT.AI submitted in K183460; build not stated · Independence not established

K183460

Clinical studies were not required for substantial equivalence according to the summary.

Liver CT Dose Reduction With Deep Learning Based Reconstruction

Registered prospective multicenter observational cohort with noninferiority comparison · Suspected focal liver lesions; low-dose CT with ClariCT.AI compared with standard-dose CT using model-based iterative reconstruction.

product family · Tested version: ClariCT.AI; exact release and K183460 equivalence not established · n=300 · 3 sites · Independence not established

NCT05804799

Registry lists 300 actual enrollees, completed status, no posted results, and last update 2023-04-12. Sponsor: Seoul National University Hospital. Enrollment is not an analyzed-cohort count; sponsorship alone does not establish independence.

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 2026-09-05

The product page gives no scoped price. Software, workstation/GPU, installation, support, and upgrade costs need quotation; procurement research is incomplete.

Reimbursement and coding
Research pending
Needs research Exact FDA submission Checked 2026-09-05

No applicable payer policy was reviewed. CT examination reimbursement does not establish separate software payment.

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.

Human reviewedStatus
2026-09-05Last searched
26Fields reviewed
11Source classes checked
0Reviewed PubMed leads
2Reviewed trial leads
0Unreviewed FDA recall leads

Both stored trial metadata records screened. NCT05804799 live registry supports a contextual family study without exact-version results. NCT05577884 concerns ultra-low-dose whole-body CT in multiple myeloma; its direct page returned a shell and protocol/version linkage was not established, so no result was promoted. No stored PubMed candidates. The current discovery snapshot contains 0 PubMed and 2 ClinicalTrials.gov candidate records; its dated, count-matched human screening remains current. Unlinked candidates remain quarantined. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.

Candidate leads were screened against the exact product and tested version. Unlinked records remain quarantined.

Source classes: fda ai list, fda decision summary, acr ai central product, fda decision material, vendor product page, literature index, trial registry, fda device recall, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-05.

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