News | Artificial Intelligence | February 24, 2022

First AI-powered cerebral aneurysm detection solution designed to facilitate population screening and enhanced care management 

 The new algorithm uses AI to detect suspected cerebral aneurysms, enabling hospital systems to ensure that once detected, patients are captured and the aneurysm workflow across an entire health system is standardized.

February 23, 2022 — Viz.ai, the world leader in artificial intelligence (AI) powered care coordination, announced it has received U.S. Food and Drug Administration (FDA) 510(k) clearance for Viz Aneurysm. The new algorithm uses AI to detect suspected cerebral aneurysms, enabling hospital systems to ensure that once detected, patients are captured and the aneurysm workflow across an entire health system is standardized. This ensures that patients receive the appropriate follow-up care and creates significant financial benefits for hospital systems and payers. Viz Aneurysm will serve as a first of its kind population health tool to facilitate population screening and enhanced care management.

Today, detecting cerebral aneurysms and coordinating care for patients with this condition is challenging for non-specialist centers, and care pathways can be complex. If left untreated, an aneurysm can rupture, spilling blood into the surrounding tissue, which causes a life-threatening and costly emergency called a subarachnoid hemorrhage. According to Etminan et al, approximately three percent of the population has a cerebral aneurysm and approximately 30,000 people suffer subarachnoid hemorrhage in the U.S. every year, which is associated with a 40 percent mortality rate.

A study at the University of Toronto tested the accuracy of Viz Aneurysm using 528 CTAs with 674 aneurysms broadly distributed across the cerebral vascular territories, encompassing anterior and posterior circulation. Data analysis demonstrated 94% accuracy for the algorithm.  

“[Aneurysms] can be often missed because they require a very methodical diagnostic approach. The Viz.ai aneurysm algorithm was able to detect cerebral aneurysms in consecutive CTAs. The model has demonstrated that a deep learning AI algorithm can achieve clinically useful levels of accuracy for clinical decision support and will help us to improve how we help aneurysm patients,” concluded Dr. Vitor Mendes Pereira, director of Endovascular Research and Innovation, University of Toronto.

“Viz Aneurysm has the potential to significantly increase the number of aneurysms detected and clinically followed,” said Jayme Strauss, chief clinical officer, Viz.ai. “The combination of detection with an ability to schedule patients for neurovascular specialist follow-up is an important advancement for aneurysm patients, helping patients obtain the necessary follow-up from this potentially deadly disease and driving improved outcomes on the population health level.”

The Viz Aneurysm module is additive to the Viz Intelligent Care Coordination Platform, which is clinically validated and reimbursed by Medicare and proven to save time, and improve patient outcomes and access to care. Viz is the most comprehensive and effective neurovascular and vascular AI platform that is already helping to coordinate care across a broad list of clinical applications, including ischemic and hemorrhagic stroke, pulmonary embolism and aortic disease in more than 1,000 hospitals.

For more information: https://www.viz.ai/

More HIMSS 2022 content


Related Content

News | Ultrasound Imaging

March 30, 2026 — Butterfly Network, Inc. has received clearance from the U.S. Food and Drug Administration (FDA) for a ...

Time April 01, 2026
arrow
News | Computed Tomography (CT)

March 30, 2026 — HCA Healthcare’s Good Samaritan Hospital is the first hospital in the Bay Area to implement Lumina 3D ...

Time April 01, 2026
arrow
News | Radiology Imaging

March 26, 2026 — GE HealthCare has announced a renewed research collaboration with Stanford Medicine Department of ...

Time March 30, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

March 25, 2026 A Penn Medicine–led team has developed a first‑of‑its‑kind artificial intelligence system that interprets ...

Time March 26, 2026
arrow
News | Cybersecurity

March 23, 2026 —Sacumen has launched ConnectX, a unified AI platform that gives cybersecurity product companies full ...

Time March 25, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

March 18, 2026 — GE HealthCare and Springbok Analytics have entered a development agreement that will aim to leverage ...

Time March 18, 2026
arrow
News | Stroke

March 11, 2026 — Brainomix, a provider of AI-powered imaging tools for stroke and lung fibrosis, has announced the ...

Time March 11, 2026
arrow
News | HIMSS

March 9, 2026 — Fujifilm Healthcare Americas Corp. is showcasing how its latest AI-powered enterprise imaging solutions ...

Time March 10, 2026
arrow
News | HIMSS

March 5, 2026 — At the Health Information and Management Systems Society (HIMSS) Conference & Exhibition 2026 in Las ...

Time March 06, 2026
arrow
News | Radiation Oncology

March 4, 2026 — Lunit has announced that 21 studies featuring its AI solutions will be presented at the European ...

Time March 05, 2026
arrow
Subscribe Now