FDA-cleared profile

JLK-NCCT

JLK, Inc.

JLK-NCCT is a radiological computer-aided triage and notification software designed for analyzing non-contrast head CT (NCCT) images. The software assists hospital networks and trained clinicians by flagging and communicating them of findings suggestive of (1) Intracranial Hemorrhage (ICH) and (2) large vessel occlusion (LVO) involving the internal carotid artery (ICA), middle cerebral artery M1 (MCA-M1) and middle cerebral artery M2 (MCA-M2) on NCCT images. JLK-NCCT employs an artificial intelligence (AI) algorithm to analyze images and highlight cases with detected (1) ICH or (2) LVO on an on-premises or cloud-based JLK server. This occurs in parallel with the ongoing standard of care image interpretation. Users receive notifications for cases with suspected ICH and LVO findings via mobile devices. Notifications include compressed preview images for informational purposes only and not intended for diagnostic use beyond notification. The device does not modify the original medical image, and is not intended to be used as a primary diagnostic device. The results of JLK-NCCT are intended to be used in conjunction with other patient information and professional judgment to assist with triage and prioritization of medical images. Clinicians who receive notifications are responsible for reviewing full images per the standard of care. JLK-NCCT is intended for adults use only.

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
JLK-NCCT is a radiological computer-aided triage and notification software designed for analyzing non-contrast head CT (NCCT) images. The software assists hospital networks and trained clinicians by flagging and communicating them of findings suggestive of (1) Intracranial Hemorrhage (ICH) and (2) large vessel occlusion (LVO) involving the internal carotid artery (ICA), middle cerebral artery M1 (MCA-M1) and middle cerebral artery M2 (MCA-M2) on NCCT images. JLK-NCCT employs an artificial intelligence (AI) algorithm to analyze images and highlight cases with detected (1) ICH or (2) LVO on an on-premises or cloud-based JLK server. This occurs in parallel with the ongoing standard of care image interpretation. Users receive notifications for cases with suspected ICH and LVO findings via mobile devices. Notifications include compressed preview images for informational purposes only and not intended for diagnostic use beyond notification. The device does not modify the original medical image, and is not intended to be used as a primary diagnostic device. The results of JLK-NCCT are intended to be used in conjunction with other patient information and professional judgment to assist with triage and prioritization of medical images. Clinicians who receive notifications are responsible for reviewing full images per the standard of care. JLK-NCCT is intended for adults use only.
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
Hospital networks and trained clinicians (neuroradiologists and general radiologists)
Public source Exact FDA submission Checked 2026-09-01

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

Care setting and population
Adult
Public source Exact FDA submission Checked 2026-09-01

Patient-population text reported in the exact-submission ACR model card; institutional setting may still require vendor confirmation.

Workflow role
Triage or notification support
Public source Exact FDA submission Checked 2026-09-01

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

Required input
CT images or data. Inclusion criteria: Non-contrast head CT (NCCT) images in DICOM format from adult patients
Public source Exact FDA submission Checked 2026-09-01

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

Output and human action
The AI model outputs binary triage notifications for suspected Intracranial Hemorrhage (ICH) and suspected Large Vessel Occlusion (LVO) involving ICA, MCA-M1, and MCA-M2. Notifications are sent via mobile devices with compressed preview images for informational/triage purposes. The system also reports time-to-notification performance.
Public source Exact FDA submission Checked 2026-09-01

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

Limitations
Exclusion criteria: Patient Motion: excessive motion leading to artifacts that make the scan technically inadequate; Hemorrhagic Transformation; Very thin or no Ventricles
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
K252421
FDA source Exact FDA submission Checked 2026-08-31
Modality
CT/CTA
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
2026-03-24
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 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 and on-premises deployment are 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 and on-premises deployment are 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

Evidence

Performance evidence

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

Evidence summary
Study type: Both. Cases: 288. Reported sensitivity: 78.5% (95% CI: 71.9%, 84.7%). Reported specificity: 90.3% (95% CI: 85.1%, 94.7%). Reader-study sensitivity: 79.2%. Reader-study specificity: 93.3%
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
78.5% (95% CI: 71.9%, 84.7%)
Public source Exact FDA submission Checked 2026-09-01

Model sensitivity reported by ACR AI Central. Review endpoint, threshold, study population, and tested version before comparison.

Reported specificity
90.3% (95% CI: 85.1%, 94.7%)
Public source Exact FDA submission Checked 2026-09-01

Model specificity reported by ACR AI Central. Review endpoint, threshold, study population, and tested version before comparison.

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

JLK-NCCT regulatory performance study summary

Stand-alone performance and reader study (ACR AI Central category) · Adult

exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K252421 · n=288 · Independence not established

K252421

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.

Automated sources checkedStatus
2026-09-04Last searched
20Fields reviewed
5Source 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, acr ai central product, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-02.

Alternatives

Related tools to compare

FDA-cleared K251590

Methinks CTA Stroke

Methinks Software S.L.

FDA product code QAS identifies this device class as Radiological Computer-Assisted Triage And Notification Software. Radiological computer-assisted triage and notification...

Modality
CT/CTA
Anatomy
Brain
Decision
2025-08-20