qER
Overview
qER by Qure.ai is an AI-powered solution designed for the rapid detection and triage of stroke and traumatic brain injury (TBI) on head CT scans. It provides real-time case notifications and alerts with comprehensive findings on Non-Contrast CTs (NCCTs) and offers automated ASPECTS scoring to assist clinicians in making quick decisions. The solution is clinically validated and supports all major CR, DR, and ultraportable head CT scans.
qER integrates directly into the radiology workflow, prioritizing critical cases on the worklist and aiming to reduce the time taken to interpret critical scans, which can lead to improved patient outcomes. It can track the progression of pathology over time and is utilized in emergency room environments to help identify critical scenarios within seconds. Qure.ai also offers qER-Quant, a quantification software for head CTs.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Real-time case notifications and alerts
- Comprehensive findings including ICH and subtypes, midline shift, mass effect, cranial fractures
- Automated ASPECTS scoring
- qER-Quant: Quantification of ICH and subtypes, lateral ventricles, and midline shift
- Automatic labeling and visualization of pathologies
- Triage and prioritization of medical images on worklist
- Supports all major CT vendors
- Works offline with cloud sync
- Mobile notifications via Qure App
- Draft radiology report generation
Use Cases
- Timely care for stroke and TBI patients
- Prioritization of critical head CT scans in emergency rooms
- Assisting trained medical specialists in workflow triage
- Tracking the progression of pathology over time
- Remote diagnosis and treatment decision-making via mobile app
- Reducing door-to-scan interpretation times
What Physicians Need to Know
Physicians can leverage qER for rapid identification and quantification of acute neurological pathologies on CT scans, leading to faster treatment decisions and improved patient outcomes, especially in time-sensitive conditions like stroke and TBI. The automated ASPECTS scoring and LVO detection significantly aid in thrombectomy eligibility assessment. The mobile notification system allows for immediate alerts and remote viewing, facilitating quicker team activation and care coordination, particularly in resource-limited settings or during off-hours. It acts as an 'augmented intelligence' tool to prioritize critical cases and reduce human error.
qER integrates directly into the radiology workflow and can be deployed as a cloud-based, hybrid, or locally virtualized solution. It integrates with PACS (Picture Archiving and Communication System) and RIS (Radiological Information System), and is accessible via AI marketplaces or distribution platforms. Qure.ai collaborates with major healthcare technology providers like GE HealthCare (integrating into App Orchestrator) and Microsoft (integrating into Precision Imaging Network). The Qure App further facilitates care coordination between hub and spoke hospitals.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact for pricing — Qure.ai utilizes a pay-per-use model; contact sales for specific tiers and enterprise solutions. |
| Deployment | Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated qER (V2.0) is US FDA 510(k) cleared as a radiological computer aided triage and notification software to flag suspected positive findings of intracranial hemorrhage, mass effect, midline shift, and cranial fracture in head CT images. qER-Quant is US FDA 510(k) cleared for automatic labeling, visualization, and quantification of intracranial hyperdensities, lateral ventricles, and midline shift from Non-Contrast head CT images. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
What the Web Says
qER by Qure.ai is an AI-powered solution designed to assist healthcare professionals in the rapid detection and prioritization of critical abnormalities in head CT scans, such as intracranial hemorrhage, mass effect, midline shift, and cranial fractures. It aims to expedite diagnosis and treatment, particularly in time-sensitive conditions like stroke and traumatic brain injury (TBI). The technology has been rigorously evaluated and deployed in various clinical settings globally, demonstrating high accuracy and potential to reduce time to intervention.
Overall: MixedStrengths
- Rapid detection and prioritization of critical findings on head CT scans.
- Aids in quicker decision-making for stroke and TBI cases.
- Reduces door-to-scan interpretation times and accelerates communication of critical results.
- Compatible with existing imaging equipment, allowing for seamless integration.
- Clinically validated with high accuracy in diverse populations and settings.
- Alleviates radiologist workload by automating routine diagnostic tasks.
Limitations
- Some users report that AI tools, including Qure.ai's qXR (a related product), can overcall findings, leading to unnecessary interventions.
- AI can sometimes slow down workflow and require more cognitive resources to filter clinically irrelevant details.
- Concerns exist about the potential for AI to reduce job opportunities for medical professionals.
- The usability support and guidance for doctors could be improved.
- Specific weaknesses, such as subtle subarachnoid hemorrhage detection, have been identified.
- One Reddit user noted that Qure.ai uses an on-premises server setup with Docker Swarm, not Kubernetes or cloud services, which might be a 'new experience' for some IT professionals.
Based on reviews from: Elion Health, G2, Reddit, Qure.ai, TestDynamics, FeaturedCustomers, Health AI Register, Radiology Today Magazine, Medium, saastrac.com, Medica, PMC
Last updated: 2026-07-19
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Press & Coverage
Videos
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