StrokeViewer

NICO.LAB

StrokeViewer aims to aid physicians in the stroke setting by workflow solutions and algorithm support. After a patient is scanned images are automatically analysed by AI and radiologists receive a mobile notification. Physicians can review the scans by logging into the system through workstation or mobile phone, and can choose to forward images to an intervention center.

Product specifications

Information source: Vendor
Last updated: Sept. 22, 2021

General
Product name	StrokeViewer
Company	NICO.LAB
Subspeciality	Neuro
Modality	CT
Disease targeted	stroke
Key-features	LVO detection (CE, FDA), LVO location (CE), ICH detection (CE), CT Perfusion analysis (CE), Collateral assessment (CE), ASPECT scoring (CE)
Suggested use	Before: adapting worklist order, flagging acute findings During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)
Data characteristics
Population	CT suspicion of stroke
Input	NCCT, CTA, CTP
Input format	DICOM
Output	Interactive view in DICOM viewer (AI presented as overlay on CT)
Output format	DICOM
Technology
Integration	Integration in standard reading environment (PACS), Stand-alone webbased
Deployment	Cloud-based
Trigger for analysis	Automatically, right after the image acquisition
Processing time	1 - 10 minutes
Certification
CE	Certified, Class I , MDD
FDA	510(k) cleared, Class II
Market presence
On market since	12-2019
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Subscription
Based on	Category Small/Medium/Large based on number stroke patients
Evidence
Peer reviewed papers on performance	Value of Quantitative Collateral Scoring on CT Angiography in Patients with Acute Ischemic Stroke (read) Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography (read)
Non-peer reviewed papers on performance
Other relevant papers	StrokeViewer Security Whitepaper (read)