Seconds to Save Lives with Viz.ai

By Rob Chess, Tim Rosenberger
2024 | Case No. E856 | Length 16 pgs.
Viz.ai, cofounded by Dr. Chris Mansi, is transforming stroke treatment through its AI-driven system, enhancing the speed and accuracy of diagnosing and treating strokes, particularly large vessel occlusions (LVOs). By dramatically reducing diagnosis and treatment times, Viz.ai improves patient outcomes, facilitating quicker recovery and reducing healthcare costs. The technology navigated complex FDA approval processes and demonstrated significant clinical and financial returns, leading to its adoption in over 1,400 hospitals. Viz.ai’s potential extends beyond stroke care, targeting expansion into other medical areas such as cardiology and radiology, aiming to identify high-risk patients for advanced treatments. Despite challenges in market adoption and determining funding sources for new applications, Viz.ai’s impact on healthcare signifies a major shift towards AI-enhanced medical treatment, positioning it as a pioneering platform in the healthcare industry.

Learning Objective

Overview of emerging technology deployment in healthcare contexts – Framework for differentiating promising vs. implausible deployments of AI in healthcare contexts.
This material is available for download by current Stanford GSB students, faculty, and staff, as well as Stanford GSB alumni. For inquires, contact the Case Writing Office. Download