Overview
StrokeSENS LVO is an AI-powered medical imaging software designed to revolutionize acute stroke diagnosis and treatment. It utilizes artificial intelligence to automatically identify suspected Large Vessel Occlusions (LVOs) on CT Angiography (CTA) head images within minutes of acquisition. The system then sends automated notifications to the stroke team, facilitating early engagement and rapid decision-making for time-sensitive cases. Beyond LVO detection, the broader StrokeSENS platform also includes StrokeSENS ASPECTS for automated Alberta Stroke Program Early CT Score (ASPECTS) assessment on non-contrast CT, aiding in the identification of early ischemic changes. This vendor-agnostic solution integrates seamlessly into existing radiological environments, streamlining clinical workflows and enhancing communication and collaboration among care team members.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered Large Vessel Occlusion (LVO) detection on CT Angiography (CTA)
- Automated notification to stroke team of suspected LVO cases
- 0-click workflow for background processing of CT ischemic stroke studies
- Automated email communication to the stroke team
- Integration into existing radiological environments (PACS)
- Remote access to imaging on web-enabled devices
- Automated ASPECTS scoring on non-contrast CT (StrokeSENS ASPECTS)
- Visualization of perfusion deficits (StrokeSENS mCTA Perfusion)
- Vendor-agnostic
- Fast processing time (10-60 seconds)
Use Cases
- Early identification and triage of acute ischemic stroke patients with LVO
- Streamlining stroke care pathways and clinical workflows
- Augmenting image interpretation for stroke assessment
- Facilitating communication and collaboration among stroke teams
- Supporting effective patient transport decisions
- Assisting healthcare workers in remote and rural areas without specialized expertise
What Physicians Need to Know
StrokeSENS LVO is a valuable AI-powered tool for augmenting acute stroke image analysis and supporting communication within stroke teams. It is designed to assist in workflow triage by flagging suspected LVO cases on CTA images and providing automated ASPECTS scoring on noncontrast CT. This can lead to faster decision-making and potentially improved patient outcomes by reducing time to treatment. However, it's crucial to remember that the notifications are for informational purposes only and not intended for primary diagnosis. Clinicians are responsible for viewing full images for diagnostic interpretation and using the results in conjunction with other patient information and professional judgment.
StrokeSENS LVO is designed to be vendor-agnostic and integrates into existing radiology environments, including PACS. It can be seamlessly integrated with GE Healthcare's FastStroke processing platform, which automates the workup of ischemic stroke cases and provides auto email communication to the stroke team. Additionally, Circle CVI has partnered with Aidoc to integrate StrokeSENS ASPECTS into Aidoc's AI-powered Full Brain Solution, offering a comprehensive AI-driven approach to stroke care.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Unknown |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Unknown |
| FDA Status | Unknown |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
What the Web Says
StrokeSENS LVO is an AI-powered software designed to rapidly detect Large Vessel Occlusions (LVO) from CT Angiography (CTA) head scans, aiming to streamline stroke care workflow and facilitate quicker treatment decisions. It uses machine learning algorithms to identify anterior LVOs and automatically notifies stroke teams of suspected cases. Studies indicate high accuracy, sensitivity, and specificity in detecting intracranial ICA and M1 MCA occlusions.
Overall: PositiveStrengths
- High accuracy, sensitivity, and specificity in detecting anterior LVOs, particularly ICA and M1 MCA occlusions.
- Automated detection and notification system helps in rapid triage and early engagement of stroke teams.
- Can improve LVO detection and speed up intervention, potentially leading to better patient outcomes.
- Vendor-agnostic and integrates into existing radiological environments.
- Facilitates review of time-sensitive cases by flagging and prioritizing suspected LVOs.
- Performance does not significantly differ by patient age, sex, or CTA acquisition characteristics.
Limitations
- Lower sensitivity for distal LVOs (M2 segments) compared to proximal ones.
- Some studies on similar AI tools indicate that while sensitivity can be high, false positive rates can also be a concern.
- Not available for sale in all countries.
- Email notifications are not intended for primary diagnosis and require review on a diagnostic workstation.
Based on reviews from: semanticscholar.org, ovid.com, researchgate.net, gehealthcare.com, physicianaitools.com, sinsec.eu, nih.gov, seu.edu.cn, circlecvi.com, fda.gov, youtube.com, aan.com, viz.ai, cardiovascularbusiness.com, journalfeed.org
Last updated: 2026-10-29
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