Viz HDS
Overview
Viz HDS, also known as Viz ICH+ and Viz Volume Plus, is an AI-powered solution developed by Viz.ai for the analysis of non-contrast CT images. It is designed to automatically label, visualize, and quantify segmentable brain structures, specifically focusing on intracranial hyperdensities, lateral ventricles, and midline shift. This tool aids physicians in the rapid assessment and management of conditions such as intracranial hemorrhage by providing automated volume calculations and color-coded overlays. It integrates seamlessly into existing clinical workflows by sending results in DICOM format back to PACS and is part of the broader Viz.ai One platform, which leverages over 50 FDA-cleared AI algorithms to accelerate diagnosis, streamline workflows, and support faster treatment decisions across various medical conditions. The user’s note mentioned ‘physician directory’ for Viz HDS; however, all available information indicates that Viz HDS/Viz ICH+ is a medical imaging AI tool and not a physician directory service.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered detection and quantification of intracranial hyperdensities
- Measurement and segmentation of hyperdense collections on non-contrast CT images
- Color-coded overlays for efficient decision-making
- Automated total volume calculation for selected collections
- Displays left and right ventricular volumes and midline shift
- Results sent in DICOM format back to PACS for seamless integration
- Real-time alerts and intelligent care coordination
- Available on mobile and desktop devices
- Integration with EHR and PACS systems
- Supports AHA 'Get With the Guidelines' standards for ICH care
Use Cases
- Accelerating diagnosis and treatment decisions for intracranial hemorrhage (ICH)
- Streamlining interhospital transfer (IHT) for ICH patients
- Improving workflow for radiologists, neurologists, and neurosurgeons
- Assessing severity, monitoring progression, and planning treatment strategies for brain bleeds
- Automating ICH scoring and documentation
- Enhancing multidisciplinary care team collaboration
What Physicians Need to Know
Always review the AI-generated output from Viz HDS alongside the patient's original images for comprehensive assessment. Leverage the automated measurements for intracranial hyperdensities, lateral ventricles, and midline shift to consistently assess severity, monitor progression, and plan treatment strategies. Utilize the mobile access for rapid decision-making and seamless care coordination among multidisciplinary teams, especially in time-sensitive stroke cases. Integrate with your Electronic Health Record (EHR) system to gain relevant contextual patient data and streamline workflows.
The Viz.ai One platform, which hosts Viz HDS, offers expanded interoperability capabilities. It integrates with Electronic Health Record (EHR) systems (e.g., Epic, Cerner), Picture Archiving and Communication Systems (PACS), and radiology worklist systems to streamline clinical workflows and provide real-time patient data. The system processes and exports medical image data in DICOM format. Viz.ai is also integrating third-party AI tools, such as Avicenna.AI's CINA-ASPECTS, to enhance its neurovascular solution.
Details
| Category | Neurology AI |
| Pricing | Contact for pricing — Custom enterprise pricing; subscription-based SaaS model |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Viz HDS (also referred to as Viz Volume Plus and Viz ICH+) received FDA 510(k) clearance (K232363) on February 5, 2024. It is intended for automatic labeling, visualization, and quantification of segmentable brain structures from non-contrast CT head scans, specifically for intracranial hyperdensities, lateral ventricles, and midline shift. |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology, Neurosurgery, Radiology |
What the Web Says
Viz.ai (also referred to as Viz HDS, Viz.ai One) is an AI-powered medical imaging and care coordination platform primarily used in hospitals and health systems to accelerate the diagnosis and treatment of time-sensitive conditions like stroke, pulmonary embolism, and aortic dissection. It leverages AI algorithms to analyze medical images, detect critical findings, and alert care teams in real-time, aiming to reduce time-to-treatment and improve patient outcomes. The platform is widely deployed in nearly 2,000 hospitals across the U.S. and Europe and has over 50 FDA-cleared algorithms.
Overall: PositiveStrengths
- Significantly reduces time-to-treatment for critical conditions like stroke, PE, and aortic dissection by providing rapid detection and alerts.
- Enhances care coordination and communication among multidisciplinary care teams (e.g., radiology, neurology, interventional radiology) through real-time image sharing and secure mobile communication.
- Offers a comprehensive platform with over 50 FDA-cleared algorithms, providing a single solution for various disease states across multiple departments.
- Integrates seamlessly with existing hospital systems like PACS and EHR, ensuring efficient workflows and easy access to information.
- Backed by strong clinical evidence and third-party verification, distinguishing it from other AI vendors with unproven claims.
- Non-technical users found the onboarding process relatively smooth with minimal IT overhead.
Limitations
- Enterprise-only pricing makes it inaccessible to individual physicians.
- Some users have reported issues with Single Sign-On (SSO) and user management, requiring tweaks.
- Vendor support has been described as responsive but not always timely, sometimes requiring follow-up.
- Occasionally flags subsegmental PEs that are not clinically significant, though sensitivity is generally valued.
- Not a general clinical decision support tool; it's specialized imaging infrastructure and won't help with tasks like looking up drug doses or generating differentials.
- The hypertension feature, though approved, is a different use case than existing Viz.ai software, which can be a point of confusion.
Based on reviews from: Clinical AI Report, CREAITIQUE, G2, Comparably, The Silicon Review, FeaturedCustomers, Reddit, PubMed Central (PMC), UC Davis Health, Forbes, Stock Titan, SoftwareWorld, FDA
Last updated: 2026-07-21
Ratings & Reviews
No reviews yet. Be the first to review this tool!
Rate Viz HDS
Press & Coverage
Videos
Product demos, reviews, and walkthroughs for Viz HDS.
Total hip replacement explained (3D Animation)
Frequently Asked Questions
Investors who backed Viz HDS
Funded through the company that built this tool.
