AI Tool Improves Stroke Treatment and Reduces Healthcare Costs

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A study has found that Viz.ai’s AI-powered tool, Viz LVO, is making a real difference in how hospitals manage severe strokes. The tool, which automatically detects large vessel occlusions (LVO) in the brain, is helping doctors speed up treatment decisions and reduce unnecessary patient transfers.

The study, titled “Should they stay or should they go? Stroke transfers across a hospital network pre- and post-implementation of an automated image interpretation and communication platform,” looked at how hospitals used Viz LVO before and after its introduction. The findings show that the software led to more efficient use of CT scans, increased treatment with endovascular thrombectomy (EVT), and potentially saved healthcare systems money by cutting down on unnecessary transfers.

Dr. James Bonner, Chair of Emergency Medicine at Inspira Medical Center Mullica Hill, noted how the AI tool has changed the way stroke care is delivered. “By giving us real-time, actionable data, Viz.ai has made it possible to make faster and better decisions, which is critical when dealing with strokes where every second counts.”

The study also highlighted the problem of “futile transfers,” where stroke patients are moved to larger hospitals but don’t end up receiving advanced treatment like EVT. This is not only costly for healthcare systems but also stressful for patients and their families. Viz LVO helps reduce these unnecessary transfers by quickly analyzing scans and giving doctors the information they need to make decisions on the spot.

Prem Batchu-Green, Vice President of Clinical at Viz.ai, said the study shows how AI can help both patients and healthcare providers. “This isn’t just about technology; it’s about improving care and making the system work better for everyone involved.”

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