Viz CTP

by Viz.ai  · Based in United States →AI-powered disease detection and intelligent care coordination
Emergency Medicine Neurology Radiology

Subscription model
Regulatory Status Disclosed

Overview

Viz CTP is an AI-powered image processing software designed for the analysis and communication of computed tomography (CT) perfusion scans of the brain. It is intended for use by trained professionals, including physicians and medical technicians, in hospital networks and care settings where neurovascular conditions, such as stroke, are evaluated.

The software integrates into existing imaging workflows, providing rapid and automated analysis of CT perfusion images within minutes of acquisition. It calculates parameters related to tissue flow and blood volume, generating perfusion maps that assist in assessing brain ischemia. Viz CTP can be accessed via mobile devices or desktops, facilitating communication and decision-making among care teams.

Notable capabilities include the automatic analysis of CT perfusion images, production of parametric color maps, and calculation of CT perfusion parameters such as rCBF, rCBV, MTT, and Tmax. The system also uses AI to correct for motion artifacts. It provides analysis and communication capabilities for dynamic imaging datasets acquired with CT perfusion imaging protocols.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered disease detection (50+ FDA-cleared algorithms)
  • Real-time, mobile access to high-fidelity imaging (DICOM viewer, 3D manipulation)
  • Intelligent care coordination and communication platform (HIPAA-compliant messaging)
  • Automated image analysis and interpretation (e.g., CT perfusion maps, LVO detection)
  • Prioritized worklists
  • EHR integration
  • AI-powered motion artifact correction for CTP
  • Automated measurements (e.g., ICH volume, subdural thickness/midline shift)
  • Agentic AI for clinical summaries and documentation (Viz Assist)

Use Cases

  • Accelerating stroke diagnosis and treatment (LVO, CTP, ICH, Aneurysm, SDH)
  • Improving care coordination across multidisciplinary teams
  • Enhancing detection and management of cardiovascular diseases (HCM, PE, ACS, Cardiac Amyloidosis)
  • Optimizing radiology workflows and triage
  • Facilitating clinical trial enrollment
  • Supporting life sciences partnerships for new disease solutions

What Physicians Need to Know

Evidence Base
Viz CTP is an AI-powered solution that analyzes CT perfusion images of the brain, calculating parameters such as relative Cerebral Blood Flow (rCBF), relative Cerebral Blood Volume (rCBV), Mean Transit Time (MTT), and Time to Maximum (Tmax). It aids in the evaluation of patients with suspected neurovascular conditions, particularly acute ischemic stroke. The FDA cleared Viz CTP through the 510(k) pathway in 2018. Viz.ai emphasizes that its solutions are backed by real-world clinical evidence, with over 100 published, peer-reviewed abstracts and manuscripts across its platform.
Clinical Validation Studies
A clinical study found no statistically significant difference in calculated rCBF <30% volumes between Viz CTP or RapidAI compared to manually segmented volumes from 24-hour diffusion MRI. Another study comparing Viz CTP and RapidAI in acute ischemic stroke patients found high correlation in perfusion maps but statistically significant differences in irreversibly ischemic cores; however, these differences did not lead to clinically significant differences when applying DAWN and DEFUSE 3 criteria for thrombectomy patient selection. A more recent study (presented at ESOC 2025) indicated that Rapid CTP software offered 23% greater detection of medium vessel occlusions compared to Viz CTP.
Alert Fatigue Management
Providers using the Viz neuroimaging platform, which includes CTP, have the ability to disable or limit alerts at their discretion to manage alert fatigue. A meta-analysis comparing LVO detection tools noted that Viz.ai demonstrated higher specificity (0.95) and a lower false-positive rate (0.05) compared to Rapid AI, which can contribute to reduced alert fatigue.
Override Rate Data
Specific override rate data for Viz CTP is not explicitly detailed in the provided search results.
Differential Diagnosis Support
Viz CTP analyzes CT perfusion images to identify and quantify ischemic core and penumbra, which is crucial for diagnosing acute ischemic stroke and guiding treatment decisions. It helps differentiate between irreversibly infarcted and potentially salvageable brain tissue. While providing critical diagnostic information for stroke, it is not described as a broad differential diagnosis tool for multiple conditions.
Guideline Update Frequency
The frequency of guideline updates for Viz CTP's algorithms or underlying clinical guidelines is not explicitly stated in the provided information. The algorithms are based on established perfusion measurements.
Clinical Workflow Integration
Viz CTP integrates with existing imaging workflows and is accessible via mobile devices or desktops. It supports bi-directional communication of DICOM data, receiving files directly from imaging modalities or PACS servers and exporting results in standard DICOM format for viewing on existing radiological imaging viewers. The Viz.ai platform facilitates real-time, HIPAA-compliant communication and care coordination among multidisciplinary teams, which has been shown to improve key time metrics in stroke care, such as door-to-groin, door-to-device, and door-to-recanalization times. The Viz.ai One platform is deployed in over 1,700 hospitals and health systems.
Physician Tip

Leverage Viz CTP for rapid, AI-powered analysis of CT perfusion images to quickly assess ischemic core and penumbra in suspected stroke patients, facilitating timely treatment decisions. Utilize the integrated communication tools for efficient, HIPAA-compliant coordination with multidisciplinary stroke teams. Be aware that while Viz CTP shows high correlation with other automated systems, some volumetric differences may exist, and consider these in conjunction with overall clinical assessment. Customize alert thresholds to minimize fatigue while ensuring critical notifications are received.

Viz CTP is designed for seamless integration into existing imaging workflows, supporting DICOM-compliant devices for bi-directional data exchange with imaging modalities and PACS. It is a core component of the broader Viz.ai One platform, which offers comprehensive AI-powered care coordination across various neurovascular conditions and can be accessed via mobile or desktop devices. The platform's HIPAA compliance and SOC 2 Type II certification ensure secure data handling and communication within hospital networks.

Details

Category Clinical Decision Support & Reference, Neurology AI, Radiology & Imaging AI
Pricing Subscription model Annual fee based on the number of algorithms used and the size of the population served.
DeploymentCloud-native solution, integrates with PACS and EHRs.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Viz.ai received the first de novo FDA clearance for AI computer-aided triage in 2018. It has numerous 510(k) clearances for various algorithms, including Viz CTP (K180161), Viz LVO, Viz Aneurysm, Viz ICH, and Viz Subdural.

Integrations
EHR Not specified
Specialties Emergency Medicine, Neurology, Radiology

What the Web Says

Viz CTP, part of the Viz.ai platform, is an AI-powered solution designed for real-time imaging triage and care coordination, primarily for time-critical diagnoses like stroke and pulmonary embolism. It analyzes CT perfusion images to help physicians quickly assess and activate appropriate care teams. The platform is widely adopted in US stroke centers and is praised for its ability to reduce time-to-treatment.

Overall: Positive

Strengths

  • Significantly reduces time-to-treatment for stroke and other time-sensitive conditions.
  • Provides real-time imaging triage and care coordination.
  • Automates detection of critical findings on imaging.
  • Reliable PE detection with actionable alerts.
  • Effectively reduces motion artifacts in CT perfusion images.
  • Smooth onboarding process with minimal IT overhead for non-technical users.

Limitations

  • Enterprise-only pricing, making it inaccessible to individual physicians.
  • Occasionally flags subsegmental PEs that are not clinically significant.
  • Some users have experienced issues with SSO and user management.
  • Vendor support can be responsive but not always timely.
  • Viz.ai may consistently predict larger core infarcts compared to other software like RapidAI.
  • Not a general clinical decision support tool; focused exclusively on radiology applications.

Based on reviews from: Clinical AI Report, Comparably, FeaturedCustomers, CREAITIQUE, Viz.ai, App Store, American Journal of Neuroradiology, Reddit, G2, Capterra

Last updated: 2026-07-19

Ratings & Reviews

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Press & Coverage

PR Newswire
Viz.ai Receives FDA Clearance for Automated Computed Tomography Perfusion (CTP) Software
Viz.ai announced FDA 510(k) clearance for Viz CTP, its automated computed tomography perfusion software, which analyzes functional and dynamic CT perfusion images to aid in stroke diagnosis and treatment. This adds to their comprehensive suite of technology for automated large vessel occlusion (LVO) stroke identification and care coordination.
2018-04
Calcalistech
AI Healthcare Company Viz.ai Receives FDA Clearance for Stroke Detection Technology
Viz.ai received its second FDA clearance for Viz CTP, an image processing software that analyzes CT scans for rapid identification of stroke indicators. This follows their earlier clearance for a platform identifying large vessel occlusion (LVO) strokes.
2018-04
Medtronic
Medtronic Partners with Viz.ai to Accelerate Adoption of New Artificial Intelligence Software in U.S. Stroke Centers
Medtronic partnered with Viz.ai to accelerate the adoption of Viz.ai's AI-powered technology in U.S. stroke centers, aiming to synchronize stroke care and decrease time to treatment. Viz.ai's software identifies suspected large vessel occlusion (LVO) strokes and notifies specialists, with Viz CTP also cleared by the FDA.
2019-07
NoCamels
Viz.ai Raises $50M To Detect Ischemic Stroke Using AI, Deep Learning
Viz.ai secured $50 million in Series B funding to expand its AI-powered synchronized care platform, which includes FDA-cleared products like Viz LVO and Viz CTP for detecting ischemic stroke. Viz CTP automatically analyzes CT perfusion images and generates parametric color maps.
2019-10
Diagnostic and Interventional Cardiology
Viz.AI and Avicenna.AI Partner to Launch Artificial Intelligence Care Coordination for Pulmonary Embolism and Aortic Disease
Viz.AI and Avicenna.AI collaborated to integrate Avicenna.AI's FDA-approved algorithms for pulmonary embolism and aortic dissection onto the Viz intelligent care coordination platform. This partnership aims to improve patient triage and accelerate clinical decision-making for these life-threatening conditions.
2021-07
Medical Device and Diagnostic Industry
Viz.ai Wins CE Mark for AI Stroke Solution
Viz.ai received CE Mark approval for its AI stroke solution, allowing it to expand its reach into the European Union. The company's technology, including Viz CTP, aims to reduce time to treatment and improve patient outcomes by enhancing care coordination.
2021-07
Viz.ai
Viz.ai Neurovascular Impact Continues to Expand
Viz.ai highlighted the expanding impact of its neurovascular platform, including Viz LVO, Viz CTP, and Viz ICH modules, in improving stroke care. Recent data from ISC 2022 further validated the accuracy of Viz CTP in comparing with other software.
2022-03
Diagnostic Imaging
CT Perfusion Study Shows Enhanced Detection of Medium Vessel Occlusions with Emerging AI Software
A study presented at the European Stroke Organization Conference (ESOC) compared Rapid CTP AI software and Viz CTP AI software, finding that Rapid CTP offered 23% greater detection of medium vessel occlusions. The research involved 1,122 stroke patients and highlighted differences in AI software performance for complex stroke cases.
2025-05

Videos

Product demos, reviews, and walkthroughs for Viz CTP.

View all on YouTube

Frequently Asked Questions

Viz CTP is an AI-powered image processing software designed for the rapid analysis of computed tomography (CT) perfusion scans of the brain. It provides automated estimations of ischemic penumbral and Tmax volumes, which are crucial for evaluating patients with suspected neurovascular conditions like acute ischemic stroke. This analysis aids physicians in making timely and informed decisions regarding patient management.
Viz CTP integrates with current imaging workflows, automatically analyzing CT perfusion images within minutes of acquisition. Physicians can access the results and perfusion maps on mobile devices or desktops. The system can also send notifications to specialists, facilitating earlier communication and care coordination for time-sensitive conditions.
Viz CTP is cleared by the U.S. Food and Drug Administration (FDA) through the 510(k) pathway as a Class II medical device. The platform is also designed to be HIPAA-compliant, ensuring secure and private handling of patient data and communications among care teams.
Yes, a prominent alternative is RapidAI (iSchemaView RAPID). While studies show a strong correlation in core and penumbra predictions between Viz CTP and RapidAI, often leading to equivalent triage for thrombectomy eligibility, some research indicates differences in volume estimations and detection rates for certain occlusions, such as medium vessel occlusions.
Viz.ai generally operates on a subscription-based model, where hospitals pay for the use of its AI-powered disease detection and care coordination platform. While specific pricing for Viz CTP is not publicly detailed, this subscription approach covers access to its advanced imaging analysis capabilities.
Viz CTP is specifically designed for CT perfusion imaging data and does not analyze MRI protocols. Its results are intended to support, not replace, comprehensive clinical assessment and should not be used as the sole basis for diagnosis or treatment decisions. Clinicians should also be aware that volume estimations can vary between different software packages, and scanner protocols may influence performance.
Yes, by providing advanced, high-speed analysis of CT perfusion images, Viz CTP aims to reduce motion artifacts and quickly deliver critical perfusion maps. This technology helps activate appropriate stroke teams faster and facilitates earlier care coordination, which can lead to improved clinical outcomes by reducing the time to treatment for acute stroke patients.

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

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