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An x-ray scan of a suspected abdominal aortic aneurysm (AAA).

Viz Aortic Solution

This is our AI-powered solution for the detection of suspected abdominal aortic aneurysm (AAA) and aortic dissection.

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Picture collage of two doctors, one smiling at the computer screen, and another discussing patient healthcare data.

Detect suspected disease earlier in the pathway

Automatically detects suspected AAA and aortic dissection (Type A and Type B) within minutes of CT scan completion.

Streamline communication and patient care

Our clinical specialists work with you to customize the app based on your workflow. You’ll have access to critical patient information in real time, which may improve patient outcomes.

Connect the right patient to the right specialist

Early identification of patients enhances access to life-saving therapies for more patients. Now you can accelerate treatment decisions using our HIPAA-compliant solution.

Improved clinical outcomes powered by the Viz Aortic Solution

Viz AAA (Abdominal Aortic Aneurysm)

96%

Sensitivity

95%

Specificity

Viz Aortic Dissection Detection

36

Seconds from CT scan to specialist alert

96%

Sensitivity

98%

Specificity

Clinical study

Chang PD. Real-world validation of a deep learning AI-based detection algorithm for suspected aortic dissection. Presented at: VEITHSymposium, November 17, 2022.

Study found that Viz Aortic showed an 80.1% positive predictive value (PPV) in a diverse setting of over 1,300 scans for aortic dissection.

What our customers are saying

Automated detection may have a positive downstream effect on patient triage leading to accelerated care coordination, earlier diagnoses, timely initiation of life-saving interventions, and better patient outcomes.
This algorithm is a powerful new tool for healthcare professionals to more readily identify and capture individuals with AAA and, importantly, automatically refer those at imminent risk for rupture.
Our partnership with Viz.ai aligns with our commitment to delivering exceptional patient care by utilizing groundbreaking advancements in technology. This software holds immense potential for transforming the way we approach patient care.

Peter Chang, MD

Radiologist and Director at UCI Center for AI in Diagnostic Medicine
Philip Batista, MD

Associate Program Director, Vascular and Endovascular Surgery Residency, Cooper
Snehal V. Gandhi, MD

Chief Medical Information Officer and Medical Director of Hospital Medicine at Cooper University Healthcare

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Experience the power of AI

See for yourself how you can harness the power of AI to accelerate patient access to care through AI-powered care coordination.

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