Viz.ai’s Viz Aortic Algorithm Technology Studied for Detecting Aortic Dissection

November 18, 2022—Viz.ai announced new data from an aortic dissection artificial intelligence (AI) real-world study that supports the use of its AI technology for the detection of suspected aortic dissection. The company stated that the data from the new study, conducted by Viz.ai in collaboration with Avicenna.ai, validate the company’s dissection detection algorithm, part of the Viz Aortic solution.

The abstract of the study, “Real-world validation of a deep learning AI-based detection algorithm for suspected aortic dissection,” was delivered at the 49th annual VEITHsymposium held November 15-19 in New York, New York.

The investigators reported the performance of the Viz aortic dissection algorithm on 1,303 CTA scans collected in > 200 cities in the United States. The algorithm demonstrated a sensitivity of 94.2%, specificity of 97.3%, positive predictive value of 80.1%, and negative predictive value of 99.3%.

As noted in the Viz.ai press release, the investigators concluded, “These findings provide significant real-world validation of a deep-learning AI-based detection algorithm for suspected aortic dissection. Automated detection may have a positive downstream effect on patient triage, leading to accelerated care coordination, earlier diagnosis, timely initiation of life-saving interventions, and better patient outcomes.”

According to Viz.ai, Viz Aortic accelerates the time to notification to specialists, giving them access to clinically relevant imaging and patient information for appropriate patient treatment plans. The solution includes AI-powered alerts, high-fidelity mobile image viewing, relevant clinical information, and HIPAA-compliant communication to facilitate workflow and improve patient care for all aortic conditions.

Peter Chang, MD, commented in the press release, “My experience as a clinician and AI developer has shown me that care teams need solutions that are not only accurate but that will enable them to be more efficient. The application of this aortic algorithm into the workflow has the potential to move the needle for care teams treating this deadly disease.”

Dr. Chang is Assistant Professor In-Residence, Radiological Sciences and Co-Director, Center for Artificial Intelligence in Diagnostic Medicine at UC Irvine in Irvine, California.

Dr. Chang also cofounded Avicennna.ai, which develops medical imaging AI solutions for highly prevalent pathologies. The company uses AI and deep learning to optimize many manual tasks of radiologists. Its Cina products leverage deep learning algorithms to identify acute abnormalities and support emergency room triage.