JBS-01K is an AI medical system that diagnoses a subtype of ischemic stroke using patient’s MR image and atrial fibrillation (AF) information. This system performs lesion detection and TOAST (Trial of ORG 10172 in Acute Stroke Treatment) classification of ischemic stroke using 3D hybrid artificial neural networks. JBS-01K provides classification probabilities by analyzing input MR images of 4 sequences (DWI, FLAIR, T1, T2) and clinical information data.
Product specifications Information source: Vendor
Last updated: July 1, 2020
Product name JBS-01K
Company JLK Inc.
Subspeciality Neuro
Modality MR
Disease targeted stroke
Key-features lesion detection, ischemic stroke subclassification
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion
Data characteristics
Population all brain MR
Input DWI: compulsory, Fluid attenuated inversion recovery (FLAIR), T1-weighted image, T2-weighted image
Input format DICOM, JPG
Output Heatmap overlay, probability of stroke subtype
Output format
Integration Stand-alone third party application, Stand-alone webbased
Deployment Locally on dedicated hardware, Cloud-based, Hybrid solution
Trigger for analysis On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 3 - 10 seconds
CE Certified, Class I
FDA No or not yet
Market presence
On market since 04-2019
Distribution channels
Countries present (clinical, non-research use) 4
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use, Subscription
Based on Number of users, Number of installations
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers