JSON twin: https://www.healthaidb.com/software/jbs-01k.json
JLK
https://healthairegister.com/radiology/products/jlk-inc-jbs-01k
JBS-01K is an AI-based medical imaging software that detects ischemic stroke lesions on brain MRI and classifies ischemic stroke subtype using imaging plus clinical AF data.
Commercial AI medical device from JLK (JLK Inspection/Group) that performs automated DWI infarct detection/segmentation on MRI, provides ischemic stroke (TOAST-like) subtype classification using MRI and atrial fibrillation information, and is marketed for diagnostic support in acute stroke care. Cleared/approved by South Korea MFDS and has obtained CE certification; used in hospitals and reported in comparative validation studies versus other DWI tools.
unknown
2014
P2085
2025-09-07
commercial proprietary
Reported non-reimbursed per-use price ~53,000 KRW (public media); commercial licensing and deployment fees — contact vendor for current pricing and trial options.
enterprise_quote
2019
DICOM-compatible image input; runs cloud, hybrid, or on dedicated local hardware
product
1.0
{
"company_name": "JLK",
"company_url": "https://jlkgroup.com",
"company_offices": [
"South Korea",
"United States",
"Japan"
],
"company_founding": "2014",
"product_url": "https://healthairegister.com/radiology/products/jlk-inc-jbs-01k",
"categories": [
"clinical",
"diagnostic",
"radiology",
"neuro",
"medical imaging",
"AI-assisted diagnosis"
],
"market_segment": [
"enterprise",
"hospital"
],
"links": [
"https://jlkgroup.com/en/about/",
"https://healthairegister.com/radiology/products/jlk-inc-jbs-01k",
"https://jlkgroup.com/static/pdf/en/JBS-01K_eng.pdf",
"https://www.prnewswire.com/news-releases/ce-certification-for-ai-based-medical-solutions-of-jlk-inspection-ai-based-brain-image-analysis-jbs-01k-and-ai-based-prostate-image-analysis-jpc-01k-solutions-300858180.html",
"https://www.nsmedicaldevices.com/news/jlk-inspection-ai-based/",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7650084/",
"https://www.kedglobal.com/bio-pharma/newsView/ked202401100015",
"https://www.marketscreener.com/quote/stock/JLK-INC-120976148/news/JLK-Inspection-Announces-Its-Ischemic-Stroke-Diagnosis-Supporting-Software-JBS-01K-34586632/"
],
"summary": "JBS-01K is an AI-based medical imaging software that detects ischemic stroke lesions on brain MRI and classifies ischemic stroke subtype using imaging plus clinical AF data.",
"description": "Commercial AI medical device from JLK (JLK Inspection/Group) that performs automated DWI infarct detection/segmentation on MRI, provides ischemic stroke (TOAST-like) subtype classification using MRI and atrial fibrillation information, and is marketed for diagnostic support in acute stroke care. Cleared/approved by South Korea MFDS and has obtained CE certification; used in hospitals and reported in comparative validation studies versus other DWI tools.",
"target_users": [
"radiologists",
"neuroradiologists",
"neurologists",
"stroke teams",
"radiology technologists",
"hospital administrators"
],
"specialties": [
"neurology",
"neuroradiology",
"stroke"
],
"regions_available": [
"South Korea",
"European Union (CE-marked)",
"Philippines"
],
"languages_supported": [
"Korean",
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Reported non-reimbursed per-use price ~53,000 KRW (public media); commercial licensing and deployment fees — contact vendor for current pricing and trial options.",
"license": "commercial proprietary",
"deployment_model": [
"cloud-based",
"hybrid",
"on-prem (dedicated hardware)"
],
"os_platforms": [
"Web",
"Windows"
],
"features": [
"Ischemic stroke lesion detection (MRI)",
"Ischemic stroke subtype classification (TOAST)",
"Multi-sequence MRI analysis (DWI required; FLAIR, T1, T2 supported)",
"Probability scores for stroke subtypes",
"Heatmap overlay visualization on images",
"DICOM and JPEG image input",
"Fast processing (reported 3–10 seconds)",
"On-demand image upload / user-triggered analysis",
"Stand-alone and web-based operation modes",
"Integration as third-party application or web service"
],
"optional_modules": [],
"integrations": [],
"data_standards": [
"DICOM"
],
"api_available": "unknown",
"system_requirements": "DICOM-compatible image input; runs cloud, hybrid, or on dedicated local hardware",
"compliance": [
"CE (MDD)"
],
"certifications": [
"CE (MDD)",
"MFDS (Korea)"
],
"security_features": [],
"privacy_features": [],
"data_residency": "",
"customers": [
"Korea University Medical Center",
"Kyungpook National University Hospital",
"Seoul National University Hospital",
"Bundang Seoul National University Hospital",
"Seoul National University Hospital Gangnam Center",
"Korea Veterans Health Service (HVMC)",
"Catholic University Seoul St. Mary's Hospital",
"Incheon St. Mary's Hospital",
"Chung-Ang University Hospital",
"Severance Hospital (Yonsei University)",
"Jeonnam National University Hospital",
"Samsung Medical Center",
"Asan Medical Center",
"Dongguk University Ilsan Hospital",
"Gachon Gil Medical Center",
"University of Missouri Health Care",
"Clinton Foundation"
],
"user_reviews": [],
"ratings": [
"CE mark (MDD) — listed as CE certified on Health AI Register",
"Approved by South Korea Ministry of Food and Drug Safety (MFDS) as AI-based Class III device (JLK PR Newswire)"
],
"support_channels": [
"email",
"phone",
"onsite"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite"
],
"release_year": "2019",
"integration_partners": [
"Intel",
"Intel OpenVINO",
"MEDICOM",
"Medikind",
"IGM7",
"University of Missouri Health Care",
"Clinton Foundation",
"CETI",
"TBFree"
],
"id": "P2085",
"slug": "jbs-01k",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/jbs-01k.json"
}
}