AI-powered detection tool found 85% of aneurysms were not referred for follow-up

Viz.ai has announced that 85% of aneurysms detected by Viz Aneurysm, its artificial intelligence-based detection tool, previously had not been referred for neurovascular review.

Sunil A. Sheth, MD, assistant professor of neurology at UTHealth Houston McGovern Medical School, and colleagues used Viz Aneurysm to screen nearly 1,200 CT angiograms (CTAs) for stroke evaluation in eight stroke centers in Texas. According to a company press release, the median size of all aneurysms was 5 mm, and nearly half were larger than 7 mm.

“In our study, Viz Aneurysm not only demonstrated the value of automated detection, but also the significant importance of facilitating referrals to the appropriate specialist, so fewer aneurysms get missed, helping more people,” Sheth said in the release.

The detection tool automatically analyzes CTAs for suspected cerebral aneurysms and facilitates referrals, which can ensure health care systems and clinicians provide proper diagnoses, the company stated. Data from the study demonstrated the impact of automatic detection on patient care.

“This real-world clinical evidence validates the impact of Viz Aneurysm in a large study,” Viz.ai Chief Clinical Officer Jayme Strauss stated in the release. “These data demonstrate the importance of workflow efficiency that Viz can bring to unruptured cerebral aneurysm, assuring the patient is referred to the right provider, possibly impacting rupture and mortality rates.”