Viz.ai Launches AI-Powered Vascular Imaging Software

Article

The artificial intelligence (AI)-enabled Viz™ Vascular Suite reportedly allows automated detection of vascular conditions, shown on computed tomography (CT) and other imaging modalities, and facilitates timely triage among interdisciplinary teams.

An emerging artificial intelligence (AI) software, which can be utilized with multiple imaging modalities, may enhance the assessment and timely care coordination for vascular conditions, including aortic dissection and pulmonary embolism.

The recently launched Viz Vascular Suite can be utilized with a variety of imaging modalities, including computed tomography (CT) and echocardiography, to provide automated analysis of suspected vascular conditions, according to the software’s manufacturer Viz.ai.

After a vascular condition has been identified, Viz.ai said the Viz Vascular Suite software app sends alerts and patient imaging scans via HIPAA-compliant means to the mobile devices of providers. Philip Batista, M.D., emphasized the ability of the Viz Vascular Suite to foster timely notification and interdisciplinary care for patients with serious vascular conditions.

“When Viz identifies an abnormal scan, it quickly notifies the appropriate specialists regardless of their location, facilitating seamless communication via mobile application,” noted Dr. Batista, an assistant professor of surgery and associate program director of Vascular and Endovascular Surgery Residency at the Cooper Medical School of Rowan University in Camden, N.J. “We’ve been using the Viz software for the last several months and have seen improvements in patient care across our institution.”

(Editor’s note: For related articles, see “AI-Powered Algorithm May Enhance CT Assessment of Aortic Dissection,” “Pie Medical Imaging Launches AI-Powered Echocardiography Platform” and “FDA Clears AI-Powered Echocardiography Platform for Detecting Heart Failure with Preserved Ejection Fraction.”)

Recent Videos
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Pertinent Insights into the Imaging of Patients with Marfan Syndrome
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 2
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 1
Teleradiology and Breast Imaging: Keys to Facilitating Personalized Service, Efficiency and Equity
Radiology Study Finds Increasing Rates of Non-Physician Practitioner Image Interpretation in Office Settings
Can Fiber Optic RealShape (FORS) Technology Provide a Viable Alternative to X-Rays for Aortic Procedures?
Does Initial CCTA Provide the Best Assessment of Stable Chest Pain?
Related Content
© 2025 MJH Life Sciences

All rights reserved.