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: Aug. 20, 2023
Product name StrokeViewer
Company Nicolab
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 format DICOM
Output Interactive view in DICOM viewer (AI presented as overlay on CT)
Output format DICOM
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
Certified, Class I , MDD
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 model Subscription
Based on Category Small/Medium/Large based on number stroke patients
Peer reviewed papers on performance

  • AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation (read)

  • Artificial intelligence software for diagnosing intracranial arterial occlusion in patients with acute ischemic stroke (read)

  • 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