qER-CTA
Overview
qER-CTA by Qure.ai is an advanced artificial intelligence solution designed to assist clinicians and radiologists in the rapid analysis and triage of head Computed Tomography Angiography (CTA) scans for suspected Large Vessel Occlusions (LVOs) in the brain’s anterior circulation. This FDA-cleared software reviews the internal carotid artery and the M1 segment of the middle cerebral artery in adults aged 22 and older. By identifying abnormal findings and sending immediate alerts, qER-CTA aims to expedite both triage and necessary interventions, significantly reducing time to treatment in emergency scenarios and strengthening clinical decision-making, particularly in cases that could lead to ischemic stroke. It integrates seamlessly into clinical workflows, complementing existing AI tools for critical CT findings and supporting healthcare professionals in time-sensitive emergencies.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered detection of Large Vessel Occlusions (LVOs) on CTA scans
- Analyzes internal carotid artery (ICA) and M1 segment of the middle cerebral artery (MCA)
- Immediate alerts for abnormal findings
- Expedites triage and interventions for stroke
- Integrates into clinical workflows
- Computer-aided triage and notification (CADt) software
- Operates as a parallel workflow tool, independent of standard of care
- Mobile application available for previewing images (for informational purposes only)
Use Cases
- Early detection of LVOs to prevent ischemic stroke
- Rapid triage of emergency neurocritical cases
- Assisting radiologists and clinicians in interpreting CTA scans
- Reducing time to treatment in emergency scenarios
- Enhancing clinical decision-making in acute stroke care
What Physicians Need to Know
For acute stroke management, qER-CTA is a valuable AI tool for the rapid identification and triage of Large Vessel Occlusions (LVOs) on CTA scans. Leverage its automated alerts and mobile notifications to expedite specialist involvement and streamline workflow, aiming to significantly reduce time-to-treatment. Integrate its findings with other clinical parameters for comprehensive patient assessment. The automated ASPECTS scoring from the broader qER suite can further aid in assessing stroke severity and guiding treatment decisions.
qER-CTA is designed for seamless integration into existing computed tomography angiography (CTA) workflows. It provides case-level output available in PACS or workstations for worklist prioritization or triage. The system complements existing AI tools for critical CT findings and can be deployed as a cloud-based, hybrid, or locally virtualized solution. A dedicated mobile application facilitates timely alerts and remote viewing of critical scans, enhancing care coordination.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact for pricing |
| Deployment | Cloud-based; On-premise options available |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Qure.ai's qER-CTA received U.S. Food and Drug Administration (FDA) 510(k) clearance as a radiological computer-aided triage and notification (CADt) software. It is intended to assist trained clinicians and radiologists in analyzing and triaging head CTA scans for suspected Large Vessel Occlusions (LVOs) in the anterior circulation (internal carotid artery and M1 segment of the middle cerebral artery) in adults aged 22 and older. This marks Qure.ai's 19th FDA clearance. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
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