Viz Subdural+

by Viz.ai  · Based in United States → — AI-powered disease detection and intelligent care coordination to accelerate diagnosis and treatment.
Neurology Neurosurgery Radiology
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Regulatory Status Disclosed

Overview

Viz Subdural+ by Viz.ai is an advanced AI tool designed to enhance the detection and quantification of subdural collections, such as subdural hemorrhages (SDH), on non-contrast computed tomography (NCCT) images. As part of the broader Viz.ai One platform, it automates the traditionally manual and time-consuming process of identifying, labeling, and measuring these collections. The software provides critical measurements including volume, thickness, and midline shift, which are essential for evaluating severity, monitoring progression, and informing timely treatment decisions, particularly for patients being considered for MMA embolization.

The tool aims to streamline workflows for healthcare professionals, reduce manual effort, and increase efficiency in the diagnosis process, ultimately leading to faster intervention and improved patient outcomes. It supports clinical decision-making by providing precise and reliable data, especially crucial for managing elderly patients or those on anticoagulants.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Auto-detection of suspected acute and chronic subdural hemorrhages
  • Automatic labeling of subdural collections
  • Quantification of measurements including volume, thickness, and midline shift
  • Streamlined workflow for healthcare professionals
  • HIPAA-compliant platform for care team communication
  • Integration into the Viz.ai One platform
  • AI-powered analysis of non-contrast head CT images

Use Cases

  • Early detection of subdural hemorrhages
  • Timely intervention for neurovascular conditions
  • Improved patient outcomes by minimizing treatment delays
  • Streamlining diagnosis and care coordination workflows
  • Supporting clinical decision-making for subdural hematoma management
  • Guiding treatment strategies, including MMA embolization

What Physicians Need to Know

Evidence Base
Viz Subdural+ has received U.S. Food and Drug Administration (FDA) 510(k) clearance. It leverages AI algorithms and machine learning to automatically label subdural collections and report measurements such as thickness, midline shift, and volume on non-contrast computed tomography (NCCT) images. The tool is designed to address the rising incidence of chronic subdural hematomas, which are projected to become the most common cranial neurosurgical condition in adults by 2030. Its development is supported by literature, including studies on the increase of subdural hematomas with an aging population and automated detection using machine learning algorithms.
Clinical Validation Studies
Viz Subdural CNN demonstrated exceptional performance in identifying and quantifying key features of subdural hemorrhages in an independent validation imaging data set. A multi-center trial involving over 500 patients showed high accuracy for the Viz SDH algorithm (a predecessor), achieving 94% sensitivity and 92% specificity in detecting subdural hemorrhages. In an independent data set, the CNN achieved a sensitivity of 91.4%, specificity of 96.4%, and overall accuracy of 95.1% for SDH detection. Specifically, for subdural hematomas with a thickness above 10 mm, the sensitivity was 100%. The mean absolute error for maximum thickness was 2.75 mm, and for midline shift, it was 0.93 mm, with a Pearson correlation coefficient of 0.97 for agreement between automated and manual measurements. Viz.ai has also been ranked #1 in the Black Book Research survey for AI Clinical Decision Support solutions for two consecutive years.
Alert Fatigue Management
Viz Subdural+ functions as a notification-only, parallel workflow tool, sending alerts for suspected subdural hemorrhages to specialists. The mobile software module allows end-users to receive and toggle these notifications, which can help manage alert volume. The average time to alert a specialist was reported as 69.1 u00b1 34.3 seconds (approximately 1.15 minutes), indicating rapid communication.
Clinical Workflow Integration
The module is integrated into the Viz.ai One platform, which is deployed across 1,800-2,000 hospitals and health systems. It automates the traditionally manual and time-consuming process of measuring subdural collections, streamlining analysis and supporting faster, more informed treatment decisions. The platform enhances disease detection, supports critical care decisions, and optimizes care pathways, particularly for elderly patients or those on anticoagulants, and for guiding timely interventions like MMA embolization. It facilitates secure, HIPAA-compliant communication and image sharing among the care team, embedding intelligence directly into clinical workflows for coordinated action.
Physician Tip

Utilize Viz Subdural+ to rapidly quantify subdural collections (volume, thickness, midline shift) from NCCT images, especially in time-sensitive cases or for patients on anticoagulants. Leverage the automated notifications to expedite specialist review and care coordination, reducing manual measurement burden and potential delays in treatment decisions. Remember that while the tool provides critical measurements and alerts, clinical interpretation of the original images by a qualified physician remains essential for diagnosis and treatment planning. The ability to toggle notifications can help manage information flow and reduce alert fatigue.

Viz Subdural+ is a module within the broader Viz.ai One platform, enabling seamless integration with other Viz.ai neurovascular solutions and care coordination tools. Its AI-powered capabilities are designed to integrate into existing hospital workflows by automating image analysis and facilitating communication across care teams, including referring and treating centers. The platform's HIPAA-compliant communication features support secure data transfer and collaboration.

Details

Category Neurology AI, Radiology & Imaging AI
Pricing Subscription model — Enterprise (Hospital/Health System)
DeploymentCloud-native platform, available as part of the Viz.ai One platform.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Viz Subdural+ received U.S. Food and Drug Administration (FDA) 510(k) clearance (K250354) on June 10, 2025. It is cleared for automatic labeling, visualization, and quantification of collections in the subdural space from non-contrast head CT images.
Integrations
EHR Not specified
Specialties Neurology, Neurosurgery, Radiology

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Press & Coverage

Constat
Viz Subdural+, Viz SUBDURAL PLUS (K250354) u2014 FDA 510(k) evidence
Viz Subdural+ is an AI/ML software device cleared by the FDA on June 10, 2025, for automatic labeling, visualization, and quantification of subdural collections and midline shift from non-contrast head CT images. The clearance was based on a validation study and comparison to a predicate device.
2026-07
FDA
K250354 - 510(k) Premarket Notification
This FDA document details the 510(k) premarket notification for Viz Subdural+, outlining its intended use for automatic labeling and quantification of subdural collections and midline shift on NCCT images. It also specifies the device as a software-only AI/ML algorithm.
2025-06
X-ray Interpreter
Viz Subdural+, Viz SUBDURAL PLUS | FDA Radiology AI Device
Viz Subdural+ is an AI-powered software that automatically analyzes head CT scans to measure subdural collections and midline shift, receiving FDA 510(k) clearance on June 10, 2025. This platform provides news, research, and regulatory approvals for AI devices in radiology.
2025-06

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Viz ANEURYSM vs Viz Subdural+
Clinical Decision Support & Reference Adjacent · 70/100
These two tools are adjacent competitors, both developed by Viz.ai to enhance neurovascular care coordination through AI-powered detection on CT scans. Viz ANEURYSM specifically targets the auto-detection of…
VS
Viz Subdural+ vs Viz CTP
Clinical Decision Support & Reference Adjacent · 70/100
Viz Subdural+ is a specialized AI tool focused exclusively on the automated detection, labeling, and quantification of subdural hemorrhages on non-contrast CT scans. Viz CTP is a broader…
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Viz Subdural+ vs HealthPNX
Clinical Decision Support & Reference Adjacent · 65/100
Both Viz Subdural+ and HealthPNX are FDA-cleared, AI-powered clinical decision support tools designed to enhance diagnostic efficiency in radiology. However, Viz Subdural+ specializes in detecting and quantifying subdural…
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Viz Subdural+ vs ContaCT
Clinical Decision Support & Reference Adjacent · 75/100
Viz Subdural+ is a specialized AI tool designed for the precise detection and quantification of subdural hemorrhages on CT scans. ContaCT, also by Viz.ai, is a broader AI-powered…

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19

Investors who backed Viz Subdural+

Funded through the company that built this tool.

Scale Venture Partners
VC T3
Foster City, United States
$5M-$25M
Scale Venture Partners is a Foster City-based growth-stage software firm investing primarily in B2B SaaS, with a long track record of leading…
AI/ML in Healthcare Care Delivery / Tech-Enabled Services
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