Viz.ai’s Stroke Solution Evaluated in Studies on Treatment Times and Financial Impact

February 19, 2025—Viz.ai, a developer of artificial intelligence (AI)–powered disease detection and intelligent care coordination technology, recently announced new clinical data supporting advancements in neurovascular care.

According to the company, two studies showed positive outcomes with the real-world impact of Viz.ai solutions in clinical practice for patients with acute large vessel occlusion (LVO) strokes. The findings were presented at the American Stroke Association’s International Stroke Conference 2025 held February 5-7 in Los Angeles, California.

The first study, “Optimization of Acute Stroke-Related Hospital Finances Utilizing Artificial Intelligence Financial Implications of Recent Clinical Study Results,” examined the economic benefits of AI-based stroke care coordination platforms for hospitals and patients.

As summarized in the company’s press release, the study projects a significant financial benefit for primary stroke care (PSC) centers by retaining patients who would have been unnecessarily transferred. The calculations suggest that if 15% of stroke care were delivered at PSCs in rural/small-town areas and an additional 15% in micropolitan areas, there would be a reimbursement shift of approximately $36.7 million to PSCs, stated Viz.ai.

The study showed a 44.13% reduction in time from patient arrival to LVO diagnosis and first contact with the treating endovascular surgeon. The press release noted that improvements in stroke workflows and treatment times led to reduced lengths of stay in the hospital.

Thomas Devlin, MD, Neuroscience Institute Director, Neurologist at CHI Memorial in Chattanooga, Tennessee, is co-author of the study.

“For hospitals, patients, families, and the care team, ideal stroke care involves identifying the patient’s medical needs quickly and transferring the patient only when a higher level of care is deemed necessary to ensure the best outcome,” commented Dr. Devlin in the Viz.ai press release. “This study showed that ensuring patients are in the right place for stroke care not only improves outcomes but also reduces futile transfers and provides financial benefits.”

The second study, “Treatment time metrics following implementation of the Viz.ai artificial intelligence intracranial occlusion-detection and communication platform: A multicenter retrospective analysis,” evaluated the impact of Viz LVO on treatment times.

The company noted this is the second multicenter study to reinforce results demonstrated in previous single-center studies with fewer patients. The study included 474 patients (215 post-Viz; 45.4%). Viz LVO implementation significantly reduced treatment time by an average of 31 minutes, reported Viz.ai.

“Every 1-minute delay to endovascular therapy has been associated with 4 additional days of disability-adjusted life-years,” commented James Siegler, MD, in the company’s press release.

Dr. Siegler, Stroke Director at the University of Chicago in Chicago, Illinois, continued, “The use of image-sharing AI-supported communication platforms has the potential to significantly impact treatment times and functional outcomes in stroke patients.”