JBS-01K

JLK Inc.

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

General
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
Technology
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
Certification
CE	Certified, Class I , MDD
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
Pricing model	Pay-per-use, Subscription
Based on	Number of users, Number of installations
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers