CT-to-PACS processing
Receives and denoises CT DICOM images and sends processed images to a PACS workstation.
exact submission · checked 2026-09-05FDA-cleared profile
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.
Clinical fit
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
CT-to-PACS use is described, but exhaustive patient-age and care-setting eligibility were not established in the reviewed text.
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
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Implementation
Use these fields to structure a vendor demo, security review, and implementation estimate.
Specific service classes and local PACS versions require conformance documentation.
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.
No dated, scoped attestation was reviewed. PHI handling, image-cache retention, access control, audit, and incident-response terms remain unverified.
Current protocol/noise-setting training and support commitments were not established.
Dose/protocol-specific acceptance, original/processed image review, update control, and escalation require a site/vendor plan; these are editorial evaluation needs.
Receives and denoises CT DICOM images and sends processed images to a PACS workstation.
exact submission · checked 2026-09-05The vendor describes standalone desktop-PC use, embedding in CT/PACS systems, and cloud-based distribution/deployment.
product family · checked 2026-09-05Not tied to the 2019 release or a current contract. Specific hardware, networking, and privacy requirements remain unverified.
Evidence
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.
No exact-submission lesion-detection sensitivity with population, endpoint, and threshold was established; denoising quality is not sensitivity.
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.
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 establishedK183460
Clinical studies were not required for substantial equivalence according to the summary.
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 establishedNCT05804799
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
These are common procurement questions; unknown values remain visible until a source supports them.
The product page gives no scoped price. Software, workstation/GPU, installation, support, and upgrade costs need quotation; procurement research is incomplete.
No applicable payer policy was reviewed. CT examination reimbursement does not establish separate software payment.
Safety and lifecycle
Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.
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
Research record
This audit distinguishes completed source review from fields that have not yet been researched.
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
Sources accessed through 2026-09-05.
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