Technology | Clinical Decision Support | February 14, 2018

Viz.AI Contact application uses artificial intelligence algorithm to analyze CT images for stroke indicators; approval paves way for future computer-aided triage software devices

FDA Clears First AI-Powered Clinical Decision Support Software for Stroke

February 14, 2018 — The U.S. Food and Drug Administration (FDA) announced marketing clearance for Viz.AI’s Contact application, the first artificial intelligence (AI)-based clinical decision support (CDS) solution cleared for sale in the U.S. Viz.AI Contact is designed to analyze computed tomography (CT) results that may notify providers of a potential stroke in their patients.

A stroke occurs if the flow of oxygen-rich blood to a portion of the brain is blocked, also known as an occlusion. According to the Centers for Disease Control and Prevention, stroke is the fifth leading cause of death in the U.S. and is a major cause of serious disability for adults. About 795,000 people in the U.S. have a stroke each year.

“Strokes can cause serious and irreversible damage to patients. The software device could benefit patients by notifying a specialist earlier thereby decreasing the time to treatment. Faster treatment may lessen the extent or progression of a stroke,” said Robert Ochs, Ph.D., acting deputy director for radiological health, Office of In Vitro Diagnostics and Radiological Health in the FDA’s Center for Devices and Radiological Health.

The Viz.AI Contact application is a computer-aided triage software that uses an artificial intelligence algorithm to analyze images for indicators associated with a stroke. These types of algorithms can assist providers in identifying the most appropriate treatment plan for a patient’s disease or condition. The FDA is currently creating a regulatory framework for these products that encourages developers to create, adapt and expand the functionalities of their software to aid providers in diagnosing and treating diseases and conditions.

The Viz.AI Contact application is designed to analyze CT images of the brain and send a text notification to a neurovascular specialist if a suspected large vessel occlusion (LVO) has been identified. The algorithm will automatically notify the specialist during the same time the first-line provider is conducting a standard review of the images, potentially involving the specialist sooner than the usual standard of care in which patients wait for a radiologist to review CT images and notify a neurovascular specialist. The notification can be sent to a mobile device, such as a smartphone or tablet, but the specialist still needs to review the images on a clinical workstation.

The Viz.AI Contact application is intended to be used by neurovascular specialists, such as vascular neurologists, neuro-interventional specialists or other professionals with similar training. The application is limited to analysis of imaging data and should not be used as a replacement of a full patient evaluation or solely relied upon to make or confirm a diagnosis.

The company submitted a retrospective study of 300 CT images that assessed the independent performance of the image analysis algorithm and notification functionality of the Viz.AI Contact application against the performance of two trained neuro-radiologists for the detection of large vessel blockages in the brain. Real-world evidence was used with a clinical study to demonstrate that the application could notify a neurovascular specialist sooner in cases where a blockage was suspected. The Viz.ai LVO Stroke Platform obtained an AUC of 0.91, identifying LVOs and alerting the relevant specialist with 90 percent sensitivity and specificity, and a median scan to notification time of under 6 minutes. In over 95 percent of cases, the automatic notifications demonstrated faster notification of the specialist, saving between 6 and 206 minutes, with an average time saving of 52 minutes.

The Viz.AI Contact application was reviewed through the De Novo premarket review pathway, a regulatory pathway for some new types of medical devices that are low to moderate risk and have no legally marketed predicate device to base a determination of substantial equivalence. This action also creates a new regulatory classification, which means that subsequent computer-aided triage software devices with the same medical imaging intended use may go through the FDA’s premarket 510(k) notification process, whereby devices can obtain marketing authorization by demonstrating substantial equivalence to a predicate device.

For more information: www.viz.ai

Related Artificial Intelligence Content

Technology Report: Artificial Intelligence 2017

Why AI By Any Name Is Sweet For Radiology

VIDEO: Examples of How Artificial Intelligence Will Improve Medical Imaging

VIDEO: Deep Learning is Key Technology Trend at RSNA 2017

Machine Learning Concerns Discussed at RSNA/AAPM Symposium

 


Related Content

News | Women's Health

Dec. 1, 2025 — ScreenPoint Medical has completed a commercial agreement making its Transpara breast-imaging AI portfolio ...

Time December 03, 2025
arrow
News | Information Technology

Dec. 1, 2025 — BioSked has announced a major expansion of its Momentum scheduling platform, introducing one of the first ...

Time December 03, 2025
arrow
News | Radiology Imaging

Dec. 1, 2025 — Rad AI has launched next-generation speech recognition technology (patent pending) that dramatically ...

Time December 02, 2025
arrow
News | Image Guided Radiation Therapy (IGRT)

Nov. 30, 2025 — At RSNA 2025, Siemens Healthineers is presenting its new imaging chain Optiq AI1, which is powered by ...

Time December 01, 2025
arrow
News | X-Ray

Dec. 1, 2025 — Medimaps Group S.A., a provider of AI-driven bone microarchitecture imaging solutions, will make the ...

Time December 01, 2025
arrow
News | FDA

Nov. 25, 2025 — RapidAI has announced the U.S. Food and Drug Administration (FDA) clearance of five new imaging modules ...

Time November 25, 2025
arrow
News | Ultrasound Imaging

Nov. 12, 2025 — GE HealthCare and DeepHealth, Inc., a wholly owned subsidiary of RadNet, Inc., have announced their ...

Time November 20, 2025
arrow
News | Neuro Imaging

Nov. 19, 2025 — Royal Philips has announced an extended partnership with Cortechs.ai. Together, the companies will ...

Time November 19, 2025
arrow
News | Archive Cloud Storage

Nov.18t, 2025 — Gradient Health recently announced its Atlas platform is now available on Google Cloud Marketplace ...

Time November 18, 2025
arrow
News | Lung Imaging

Nov. 18, 2025 — Qure.ai has announced a collaboration with Microsoft. Qure.ai will onboard its end-to-end lung cancer ...

Time November 18, 2025
arrow
Subscribe Now