Viz.AI is highlighting a study featuring its AI platform presented at the American Heart Association's 2026 International Stroke Conference (ISC).
The results suggest that deployment of the Viz.ai AI platform at Adventist Health and Rideout, a regional primary stroke center in California, reduced door-in-door-out time for large vessel occlusion (LVO) stroke patients by 44%, from 202 minutes to 113 minutes.
The study, led by Caezar Jara of Adventist Health and Rideout, evaluated the impact of the Viz.ai platform combined with standardized transfer protocols and a partnership with a comprehensive stroke center. Performance gains included an 84% reduction in time from CT angiography completion to LVO detection, and a reduction in care-team notification time from 45 minutes to seven minutes, according to the study. The 113-minute average door-in-door-out time exceeded the Joint Commission's 120-minute national benchmark.
Viz.ai also highlighted Viz Assist, a tool designed to automate care-team activation, standardize transfer workflows, and streamline communication across hub-and-spoke networks.












![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)






