Viz SDH
Overview
Viz SDH is an artificial intelligence (AI) powered tool developed by Viz.ai, designed for the automatic detection of subdural hemorrhage (SDH) in non-contrast CT images of the head. It identifies both acute and chronic subdural bleeds, enabling physicians to effectively triage patients and deliver optimal care. The system operates as a notification-only, parallel workflow tool, analyzing images and sending alerts to appropriate medical specialists, such as neurovascular specialists or neurosurgeons, independent of the standard of care workflow. This facilitates faster assessment and communication among care teams, aiming to improve patient outcomes by expediting diagnosis and treatment pathways for time-critical conditions.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automatic AI detection of acute and chronic subdural hemorrhage on non-contrast CT images.
- Real-time notification to neurovascular or neurosurgical specialists.
- Mobile application for receiving alerts and previewing images (for informational purposes).
- Quantification of subdural collections, including volume, thickness, and midline shift (available with Viz SDH+ module).
- Integration into existing clinical workflows (e.g., radiology workflow, mobile, web).
- Supports image sharing and communication among care teams.
Use Cases
- Expediting diagnosis and treatment pathways for subdural hematomas.
- Improving care coordination and communication among multidisciplinary care teams.
- Triage and prioritization of patients with suspected subdural hemorrhage.
- Facilitating faster, more informed treatment decisions, especially for acute and chronic bleeds.
- Optimizing emergency healthcare workflows and reducing time to treatment.
- Supporting guideline-directed interventions for neurovascular diseases.
What Physicians Need to Know
Leverage Viz SDH for rapid, AI-powered detection and quantification of both acute and chronic subdural hemorrhages from non-contrast CT scans to expedite specialist notification and care coordination. Utilize the mobile application for quick image review and communication with the care team, but always confirm findings on a diagnostic viewer before making definitive treatment decisions. Customize alert settings to minimize fatigue while ensuring critical notifications are received promptly. The automated measurements provided by Viz Subdural Plus can significantly aid in assessing severity and monitoring progression, especially for patients considered for interventions like MMA embolization.
Viz SDH is part of the Viz.ai One platform, designed for robust interoperability with existing hospital systems, including PACS and EHR. Its cloud-native architecture facilitates seamless data transfer and communication across the entire care network, enhancing system-wide collaboration. The platform is supported by Microsoft Cloud for Healthcare, ensuring secure and scalable deployment of AI-driven insights.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing |
Subscription
|
| Deployment | Cloud-based; available on mobile, web, and within the radiology workflow. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Viz SDH received U.S. Food and Drug Administration (FDA) 510(k) clearance (K220439) on July 25, 2022. It is cleared as a radiological computer-assisted triage and notification software for detecting subdural hemorrhage. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurosurgery, Radiology |
What the Web Says
Viz.ai's Subdural Hemorrhage (SDH) solution is an AI-powered platform designed to automatically detect acute and chronic subdural hemorrhages from CT scans, aiming to expedite diagnosis and treatment. It is widely adopted in hospitals and health systems, with physicians reporting it has fundamentally changed stroke and trauma workflows by providing faster notifications and facilitating care coordination.
Overall: PositiveStrengths
- Rapid and accurate detection of subdural hemorrhages, including differentiation between acute and chronic types.
- Significantly reduces time-to-treatment for time-critical conditions like stroke and pulmonary embolism.
- Enhances care coordination by immediately alerting specialists and care teams.
- Improves workflow efficiency for radiologists and other healthcare professionals.
- High sensitivity and specificity in detecting intracranial hemorrhages on non-contrast brain CTs.
- User-friendly interface and relatively smooth onboarding process for non-technical users.
Limitations
- Enterprise-only pricing, making it inaccessible to individual physicians.
- Not a general clinical decision support tool; specialized for imaging triage.
- Occasional flagging of clinically insignificant findings (e.g., subsegmental PEs).
- Some users reported issues with SSO and user management, requiring tweaks.
- Vendor support, while responsive, has not always been timely.
- Potential for false positives, though many are for significant findings that still benefit from expedited review.
Based on reviews from: Comparably, Clinical AI Report, FeaturedCustomers, Google Play, PMC (PubMed Central), Diagnostic Imaging, AuntMinnie, R&D World, Fierce Biotech, Medical Product Outsourcing, CREAITIQUE
Last updated: 2026-07-21
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Product demos, reviews, and walkthroughs for Viz SDH.
Beyond the Drill: The Promising Future of Chronic Subdural Treatment
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