jlk-dwi

JSON twin: https://www.healthaidb.com/software/jlk-dwi.json

Company Name

JLK

Product URL

https://www.healthairegister.com/radiology/products/jlk-dwi

Company URL

http://www.jlkgroup.com/

Categories

Summary

AI software that detects and segments suspected cerebral infarction on diffusion-weighted MRI and estimates lesion size, location and likely ischemic stroke subtype.

Description

JLK-DWI analyzes diffusion-weighted MR images to detect cerebral infarct lesions, produce heatmaps, lesion segmentation, volumes and probabilities for major ischemic stroke subtypes (large artery atherosclerosis, cardioembolic, small-vessel). Outputs are provided in DICOM and can integrate with PACS, run cloud/hybrid/on-prem, and operate in ~3–10 seconds per case to support clinical assessment.

Api Available

unknown

Certifications

Company Founding

2014

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P1909

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial/proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

contact vendor

Pricing Model

subscription

Privacy Features

Ratings

Regions Available

—

Release Year

Security Features

Specialties

Support Channels

System Requirements

DICOM-compatible PACS; web browser for cloud deployment; dedicated hardware for on-prem deployment

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "JLK",
  "company_url": "http://www.jlkgroup.com/",
  "company_offices": [
    "South Korea"
  ],
  "company_founding": "2014",
  "product_url": "https://www.healthairegister.com/radiology/products/jlk-dwi",
  "categories": [
    "diagnostic",
    "clinical",
    "imaging",
    "neuro",
    "radiology",
    "AI-assist"
  ],
  "market_segment": [
    "enterprise",
    "hospital"
  ],
  "links": [
    "https://www.healthairegister.com/radiology/products/jlk-dwi",
    "https://healthairegister.com/companies/jlk-inc",
    "http://www.jlkgroup.com/",
    "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11168493/",
    "https://www.frontiersin.org/articles/10.3389/fnins.2025.1643479/pdf",
    "https://www.nsmedicaldevices.com/news/jlk-inspection-ai-based/"
  ],
  "summary": "AI software that detects and segments suspected cerebral infarction on diffusion-weighted MRI and estimates lesion size, location and likely ischemic stroke subtype.",
  "description": "JLK-DWI analyzes diffusion-weighted MR images to detect cerebral infarct lesions, produce heatmaps, lesion segmentation, volumes and probabilities for major ischemic stroke subtypes (large artery atherosclerosis, cardioembolic, small-vessel). Outputs are provided in DICOM and can integrate with PACS, run cloud/hybrid/on-prem, and operate in ~3–10 seconds per case to support clinical assessment.",
  "target_users": [
    "radiologists",
    "neuroradiologists",
    "stroke neurologists",
    "radiology technologists",
    "hospital IT/admins"
  ],
  "specialties": [
    "neurology",
    "neuroimaging",
    "stroke"
  ],
  "regions_available": [],
  "languages_supported": [],
  "pricing_model": "subscription",
  "pricing_details": "contact vendor",
  "license": "commercial/proprietary",
  "deployment_model": [
    "cloud-based",
    "hybrid",
    "on_prem (locally on dedicated hardware)"
  ],
  "os_platforms": [
    "web"
  ],
  "features": [
    "automated lesion detection on diffusion-weighted MRI (DWI)",
    "lesion segmentation and volume quantification",
    "lesion location and pattern analysis",
    "heatmap visualization of abnormalities",
    "lesion classification by probable ischemic stroke subtype (large artery, cardioembolic, small-vessel)",
    "probability estimates for stroke subtypes",
    "rapid processing (3-10 seconds)",
    "DICOM output for clinical workflow"
  ],
  "optional_modules": [],
  "integrations": [
    "PACS (standard reading environment)",
    "AI marketplace / distribution platforms",
    "stand-alone web-based deployment",
    "MEDIHUB (JLK platform)",
    "MEDIHUB TELE"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "DICOM-compatible PACS; web browser for cloud deployment; dedicated hardware for on-prem deployment",
  "compliance": [
    "CE (MDD)"
  ],
  "certifications": [
    "CE (MDD) Class I"
  ],
  "security_features": [],
  "privacy_features": [],
  "data_residency": "",
  "customers": [
    "Samsung Seoul Hospital",
    "Bundang Seoul National University Hospital",
    "University of Missouri Hospital",
    "Euijeongbu Eulji Smart Hospital",
    "Various Korean university hospitals (multi-center research sites)"
  ],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email",
    "phone",
    "ticketing",
    "community"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "",
  "integration_partners": [
    "DoctorNet (Japan distribution partner)",
    "PACS vendors (integration)",
    "Hospital Information Systems (HIS) integrations",
    "AI marketplace / distribution platforms",
    "Cloud/hybrid local deployment partners"
  ],
  "id": "P1909",
  "slug": "jlk-dwi",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/jlk-dwi.json"
  }
}