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Viz CTP

by Viz.ai · Based in United States → — The proven AI-powered care coordination platform

Emergency Medicine Neurology Radiology

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Enterprise (hospital/health system)

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 for analyzing CT perfusion scans of the brain, aiding in the evaluation of patients with suspected neurovascular conditions like strokes. It calculates critical parameters related to tissue flow and blood volume, generating perfusion maps to assess the extent and severity of brain ischemia. The algorithm calculates established perfusion measurements including rCBF, rCBV, MTT, and Tmax.

Clinical Validation Studies

Viz CTP has undergone clinical validation. One study compared two automated CTP algorithms (Viz CTP and RapidAI) for estimating core infarct, finding no statistically significant difference in calculated rCBF <30% volumes between Viz or Rapid compared to manually segmented volumes from 24-hour diffusion MRI. Another study comparing Viz.ai and RapidAI software packages in acute ischemic stroke patients found that while Viz.ai predicted higher ischemic core volumes, and there were statistically significant differences in various volumetric outputs, these differences did not cause clinically significant differences when applied to DAWN and DEFUSE 3 criteria for thrombectomy eligibility. A multicenter study also found statistically significant differences in core and penumbra volume estimates between Viz.ai and RAPID.AI, but no significant difference in DEFUSE-3 thrombectomy eligibility in the primary or NIHSS subgroup analysis. However, one study suggested that Rapid CTP software detected significantly more medium vessel occlusions (MeVOs) than Viz CTP software in a cohort of stroke patients. Viz.ai also highlights six clinical studies presented at the 2024 International Stroke Conference showing positive outcomes and real-world impact of Viz.ai in clinical practice across various neurology pathologies.

Alert Fatigue Management

Viz.ai platforms, including Viz CTP, generate numerous alerts, which can lead to alert fatigue. Providers have the discretion to disable or limit these alerts. AI and machine learning technologies can help manage alert fatigue by filtering non-critical signals, prioritizing critical alerts, and adapting thresholds based on patient data.

Override Rate Data

Specific override rate data for Viz CTP is not explicitly provided in the search results. However, the system is designed to support, not replace, clinical decision-making.

Differential Diagnosis Support

Viz CTP primarily focuses on the analysis of CT perfusion images to assess brain ischemia in suspected neurovascular conditions like strokes, providing measurements like rCBF, rCBV, MTT, and Tmax. While it aids in diagnosis and treatment planning for stroke, explicit features for generating a broad differential diagnosis are not highlighted.

Guideline Update Frequency

The frequency of guideline updates for Viz CTP is not explicitly stated. However, Viz.ai emphasizes its commitment to clinical research and publications, and its platform is designed to align with current stroke care guidelines.

Clinical Workflow Integration

Viz CTP integrates with existing imaging workflows and can be accessed via mobile devices or desktops. It seamlessly integrates into PACS, EHR, and care team communication channels. The platform provides real-time, HIPAA-compliant communication tools, allowing coordinated review and discussion of treatment decisions among care teams. This integration helps streamline workflows, reduce time to treatment, and improve care coordination.

Decision Audit Trail

While Viz.ai maintains a comprehensive security and privacy program, including SOC 2 Type II and HIPAA compliance, and emphasizes data protection, specific details about a 'Decision Audit Trail' for individual clinical decisions made using Viz CTP are not explicitly provided in the search results.

Physician Tip

Physicians should be aware that while Viz CTP provides rapid and automated analysis of CT perfusion images, there can be statistically significant differences in core and penumbra volume estimations when compared to other automated CTP software packages. However, these differences may not always translate to clinically significant changes in thrombectomy eligibility based on criteria like DAWN and DEFUSE 3. It's crucial to understand the potential impact of different software packages on decision-making. The mobile access and integrated communication tools are valuable for rapid team coordination, but managing alert settings to prevent fatigue is also important.

Viz CTP is part of the broader Viz.ai platform, Viz.ai One, which offers extensive integration capabilities. It integrates seamlessly with existing imaging systems, Electronic Health Records (EHRs), Picture Archiving and Communication Systems (PACS), and radiology worklist systems. This allows for real-time patient data access, contextual clinical information, and synchronized communication across multidisciplinary care teams. Viz.ai also partners with life science companies to embed AI directly into clinical workflows for disease-specific solutions. The platform supports secure, scalable AI deployment in cloud environments, including Microsoft Cloud for Healthcare.

At a glance

Pricing Enterprise (hospital/health system)

Deployment Cloud Native, Integrates With PACS And EHR.

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Details

Category	Clinical Decision Support & Reference, Neurology AI, Radiology & Imaging AI
Pricing	Enterprise (hospital/health system)
Deployment	Cloud-native, integrates with PACS and EHR.
Mobile App	1
Data Export	Unknown
Compliance
BAA Available	Yes AI-estimated
HIPAA Compliant	Yes AI-estimated
FDA Status	Cleared AI-estimated
SOC 2	Yes AI-estimated
GDPR	Yes AI-estimated
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 to analyze CT perfusion images for acute stroke evaluation, aiming to reduce time to treatment and improve care coordination. It is widely deployed in hospitals and health systems, utilizing AI algorithms to detect critical findings and alert care teams in real-time. While generally praised for its speed and efficiency in critical care scenarios, some users note a high volume of alerts and occasional difficulties in distinguishing the most urgent notifications.

Overall: Positive

Strengths

Significantly enhances patient care coordination and decision-making efficiency by providing rapid alerts.
Helps clinical teams prioritize and manage time-critical cases without relying solely on manual communication.
Reduces delays in identifying critical medical conditions and improves communication between healthcare teams.
Automates CT perfusion analysis and reduces motion artifacts, providing accurate estimations of ischemic penumbral and Tmax.
Backed by real-world clinical evidence, demonstrating value to patients, providers, and pharmaceutical/medical device companies.
Highly rated for diagnostic accuracy, ease of implementation, vendor responsiveness, and user satisfaction in acute care and clinical decision support.

Limitations

The volume of alerts can be overwhelming and lead to notification fatigue, making it hard to prioritize.
Some features may take time for new users to get comfortable with.
Improved customization options and smoother integration with existing systems are desired.
Viz.ai consistently predicts larger core infarcts compared to other software like RapidAI, which may require careful clinical interpretation.
In some instances, the software flags cases without clearly showing the image of concern, and the quality assurance of study quality can be suspect.
Enterprise-only pricing makes it inaccessible to individual physicians.

Based on reviews from: G2, Clinical AI Report, FeaturedCustomers, Comparably, Black Book Market Research, Apple App Store, American Journal of Neuroradiology, Viz.ai Website, Forbes, YouTube, Reddit, MDPI

Last updated: 2026-10-24

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Press & Coverage

PR Newswire

Viz.ai Receives FDA Clearance for Automated Computed Tomography Perfusion (CTP) Software

Viz.ai announced that the U.S. FDA cleared its Viz CTP technology, an image processing software that analyzes functional and dynamic CT perfusion images for stroke detection. This clearance expands Viz.ai's suite of technology for automated stroke identification, triage, and communication.

2018-04

CTech

AI Healthcare Company Viz.ai Receives FDA Clearance for Stroke Detection Technology

Viz.ai received FDA clearance for its Viz CTP technology, which uses AI to analyze CT scans for rapid stroke indicator identification. This marks the company's second FDA approval, following clearance for its large vessel occlusion (LVO) stroke triage platform.

2018-04

AuntMinnie

FDA OK's Viz.ai's CT software

The FDA has cleared Viz.ai's Viz CTP image-processing software for viewing and analyzing CT perfusion images, adding perfusion analysis to its existing stroke care portfolio. The software complements their tools for LVO stroke identification, triage, and communication.

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 stroke care technology, including Viz CTP, in U.S. stroke centers. The collaboration aims to synchronize stroke care and reduce time to treatment, potentially improving patient outcomes.

2019-07

PubMed (AJNR Am J Neuroradiol)

A Comparison of CT Perfusion Output of RapidAI and Viz.ai Software in the Evaluation of Acute Ischemic Stroke

This study compared the agreement of decision-making rules and output from RapidAI and Viz.ai software packages for acute ischemic stroke, finding that while penumbra and infarct core predictions correlated, they were statistically different. Clinicians should be cautious when using different software for clinical decision-making.

2024-07

MDPI

Transforming Stroke Diagnosis with Artificial Intelligence: A Scoping Review of Brainomix e-Stroke, Aidoc, RapidAI, and Viz.ai

A scoping review highlighted the lack of standardization and interchangeability of outputs from automated perfusion (CTP) analysis across different platforms like RapidAI and Viz.ai, with direct clinical consequences for patient selection for reperfusion therapy. Significant volumetric discrepancies were found between Viz CTP and RapidAI when estimating ischemic core and penumbra volumes.

2026-03

Diagnostic Imaging

CT Perfusion Study Shows Enhanced Detection of Medium Vessel Occlusions with Emerging AI Software

Comparative research presented at ESOC 2025 indicated that Rapid CTP AI software provided significantly enhanced detection of medium vessel occlusions (MeVOs) compared to Viz CTP software in stroke patients. The study found Rapid CTP detected more MeVOs, suggesting not all imaging tools are equally equipped for complex stroke cases.

2025-05

Viz.ai

Viz 3D CTA Delivers Enhanced Imaging, Accelerates Clinical Decision-Making

Viz.ai launched Viz 3D CTA, a new solution that automatically converts CTA scans into high-resolution, AI-enhanced 3D images for faster and clearer neurovascular visualization. This feature, integrated into the Viz.ai platform, aims to improve decision-making in stroke and aneurysm workflows.

2025-05

Videos

Product demos, reviews, and walkthroughs for Viz CTP.

CTP Interpretation and Pitfalls

Viz. ai

Pearls and Pitfalls of CTA and CTP in Acute Ischemic Stroke

Viz. ai

Viz.ai App Demo

Viz. ai

AI and CT Perfusion Imaging: CTA and CTP Neuroimaging in Acute Ischemic Stroke Patients 008

FERNE

CT Perfusion (CTP) Rapid AI Software: CTA & CTP Neuroimaging in Acute Ischemic Stroke Patients 37

FERNE

CT Perfusion (CTP) VIZSoftware: CTA & CTP Neuroimaging in Acute Ischemic Stroke Patients 38

FERNE

View all on YouTube

Frequently Asked Questions

What is Viz CTP and how does it support clinical decision-making for physicians?

Viz CTP is an AI-powered image processing software designed for the analysis and communication of brain CT perfusion scans. It helps physicians evaluate patients with suspected neurovascular conditions like strokes by providing rapid, automated analysis of CT perfusion images. The software calculates critical parameters related to tissue flow and blood volume, generating perfusion maps that aid in assessing the extent and severity of brain ischemia, thereby supporting timely and informed decision-making.

Is Viz CTP FDA cleared and HIPAA compliant?

Yes, Viz CTP received FDA clearance through the 510(k) pathway in April 2018. It is also designed to be HIPAA-compliant, ensuring secure communication of patient data.

What are the limitations of Viz CTP that physicians should be aware of?

Viz CTP is limited to the analysis of CT perfusion imaging data sets and is not indicated for processing or analyzing images acquired through MRI protocols. Like other CTP technologies, it can be operator-dependent, sensitive to patient motion, and carries a higher radiation dose than some alternatives. There's also a risk of 'ghost cores' (falsely large core estimates) or false positives on the penumbra.

How does Viz CTP compare to alternative CT perfusion software, such as RapidAI?

Both Viz CTP and RapidAI are automated CTP post-processing packages that aid in acute ischemic stroke management. Studies have shown a strong correlation between Viz CTP and RapidAI for key CTP parameters like rCBF6s, and both resulted in equivalent large-vessel occlusion triage using DAWN and DEFUSE 3 criteria. However, some studies suggest Viz CTP may predict consistently higher irreversible infarct core volumes than RapidAI. Additionally, one study indicated RapidAI might outperform Viz.ai in detecting medium vessel occlusions.

What are the typical usage scenarios and workflow integration aspects for Viz CTP in a clinical setting?

Viz CTP is used by trained professionals, including physicians and medical technicians, to perform image processing, analysis, and communication of CT perfusion scans. It integrates with existing imaging workflows and can be accessed via mobile devices or desktops, facilitating timely and informed decision-making by the care team. The software automatically receives, identifies, extracts, and analyzes CTP studies embedded in DICOM image data, exporting parametric maps in standard DICOM format for viewing on existing radiological imaging viewers.

What is the pricing model for Viz CTP, and how is it typically reimbursed?

While specific pricing for Viz CTP is not publicly available, Viz.ai's platform has received a New Technology Add-on Payment (NTAP) from CMS, which can impact reimbursement for hospitals utilizing their AI software for stroke care. Reimbursement rates for related physician consultations and imaging studies are typically based on national averages and can be influenced by factors like payor mix.

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