Viz.ai is a healthcare technology company that leverages artificial intelligence to accelerate diagnosis and improve care coordination, particularly for time-sensitive medical conditions like stroke. The platform connects multidisciplinary teams using real-time data and intelligent notifications, allowing faster decision-making and improved clinical outcomes.
Founded with a mission to reduce time to treatment, Viz.ai’s software is built to detect disease and automatically notify relevant specialists, ensuring patients get the care they need without delays. Its AI-powered platform is FDA-cleared and CE-marked, and is deployed in hundreds of hospitals across the United States and internationally.
By combining advanced imaging analysis, mobile communication tools, and system-wide integration, Viz.ai bridges the gap between detection and treatment, streamlining the entire workflow from emergency rooms to specialist teams.
Features
Viz.ai’s platform offers a range of AI-based solutions, starting with AI stroke detection that analyzes CT scans to identify large vessel occlusions (LVOs) in patients suspected of having a stroke. The platform also includes modules for detecting intracranial hemorrhage, pulmonary embolism, aortic dissection, and cerebral aneurysms.
A core feature is the automated alert system, which notifies care teams within minutes of detecting a critical condition on a scan. Notifications are sent to mobile devices, allowing specialists to view images, chat securely, and coordinate treatment decisions remotely.
The Viz Viewer is a secure, mobile-friendly DICOM viewer that allows clinicians to view CT and CTA images directly from their smartphone or tablet, eliminating the need to be physically present in the hospital.
The Viz.ai Hub centralizes communication among emergency physicians, neurologists, radiologists, and interventionalists, improving collaboration and reducing treatment delays.
The platform supports integration with hospital PACS, EHR, and EMR systems, making it easy to deploy within existing infrastructure. Viz.ai is HIPAA-compliant and ensures secure data sharing across the care continuum.
How It Works
The process begins when a patient presents to the emergency department with symptoms of a stroke or other time-sensitive condition. A CT scan is performed and sent to the hospital’s imaging system as usual.
Viz.ai’s cloud-based AI analyzes the scan in real time. If a condition like LVO is detected, the platform automatically alerts the stroke team, typically within minutes of scan completion. The relevant clinicians receive a secure mobile notification with access to the images and key findings.
Using the Viz Viewer, clinicians can review the scans, communicate via secure messaging, and make treatment decisions remotely. If the patient requires intervention, the care team can activate transfer or prepare for thrombectomy with minimal delay.
This automated detection and triage system helps reduce the time between diagnosis and treatment, which is critical in cases like ischemic stroke where every minute impacts outcomes.
Use Cases
Viz.ai is widely used in stroke centers and comprehensive stroke programs to speed up diagnosis and decision-making for patients with suspected stroke.
Emergency departments use Viz.ai to triage patients quickly, ensuring the right specialists are looped in without delay, even before radiology reports are finalized.
In telestroke networks, Viz.ai supports remote specialists by providing instant access to imaging and collaboration tools, improving response times and expanding access to care.
Healthcare systems use Viz.ai to coordinate multi-disciplinary teams, enhancing communication between emergency medicine, radiology, neurology, cardiology, and vascular surgery teams.
The platform is also used in cardiovascular and pulmonary care, with modules for detecting PE, aortic dissection, and aneurysms, improving response time for other critical conditions.
Pricing
Viz.ai does not publish specific pricing information on its website. Pricing is typically based on custom contracts depending on the number of hospital sites, volume of scans, and AI modules selected.
Health systems and providers can contact Viz.ai directly to request a demo and receive a customized quote. Viz.ai offers enterprise pricing models for large systems and flexible deployment options for smaller hospitals and stroke centers.
Many hospitals implementing Viz.ai do so as part of value-based care initiatives, with cost savings tied to reductions in length of stay, improved outcomes, and fewer complications.
Viz.ai is also reimbursable under a Category III CPT code (92229) for the use of AI in stroke detection, improving the return on investment for hospitals and care providers.
Strengths
Viz.ai offers FDA-cleared, real-time AI detection for multiple critical conditions, which is essential in reducing time to treatment and improving patient outcomes.
Its mobile-first design allows clinicians to access full diagnostic imaging and communicate from anywhere, speeding up decision-making even when specialists are off-site.
The platform is modular and scalable, allowing hospitals to expand from stroke to other use cases like pulmonary embolism, aortic dissection, and aneurysm detection.
Viz.ai supports clinical efficiency, collaboration, and communication through its centralized, secure, and integrated ecosystem.
The solution is backed by peer-reviewed clinical research, and has demonstrated positive impacts on door-to-needle times, thrombectomy rates, and hospital throughput.
Drawbacks
Viz.ai is designed for institutional deployment, meaning it is not a tool for individual clinicians or private practices without integration support.
The platform depends on existing imaging infrastructure, and smaller hospitals without 24/7 imaging capabilities may not fully benefit from the system.
Implementation may require initial IT setup, training, and EHR integration, which can take time and coordination depending on the complexity of the health system.
AI-based alerts still require clinical validation, as false positives can occur, particularly in low-prevalence populations or non-standard imaging protocols.
Pricing and long-term contracts may be a concern for smaller hospitals or health systems with limited budgets.
Comparison with Other Tools
Viz.ai competes with other stroke AI tools such as RapidAI, Aidoc, and Brainomix.
Compared to RapidAI, which also provides stroke detection and care coordination, Viz.ai places greater emphasis on mobile workflow and real-time team communication, making it highly effective in remote and telemedicine environments.
Aidoc offers broader AI radiology solutions across multiple specialties, while Viz.ai focuses on real-time care coordination and disease-specific pathways.
Brainomix is known for stroke imaging solutions in Europe, but Viz.ai has stronger presence in the U.S. market with FDA-cleared tools across a growing list of conditions.
Viz.ai’s combination of intelligent detection and seamless communication workflow gives it a unique position in the space of AI-powered emergency care platforms.
Customer Reviews and Testimonials
Clinicians using Viz.ai report significant improvements in stroke care, especially in reducing door-to-needle and door-to-groin times. Many credit the platform with helping them make faster treatment decisions and improving patient survival rates.
Hospital administrators appreciate the ROI in terms of clinical outcomes and operational efficiency, citing reductions in length of stay, improved patient flow, and fewer unnecessary transfers.
Users consistently highlight the intuitive interface, reliable notifications, and cross-specialty collaboration features as major advantages.
Viz.ai has received numerous awards and is regularly featured in top health tech publications as a leader in AI-driven healthcare transformation.
Conclusion
Viz.ai is transforming emergency medical care with a powerful, AI-driven platform that speeds up diagnosis, enhances care coordination, and improves outcomes for patients with stroke and other life-threatening conditions. Its ability to analyze scans, alert specialists, and enable secure mobile collaboration makes it one of the most effective solutions for reducing delays in time-critical care.
With FDA-cleared algorithms, scalable architecture, and demonstrated clinical impact, Viz.ai represents the future of intelligent, connected healthcare. It empowers care teams to act faster, make better decisions, and save more lives.
