{"id":"AIBD-0610","title":"Viz LVO detection with mobile alerts shortened door-to-groin times at four Houston stroke centers in a stepped-wedge randomized trial","summary":"In a stepped-wedge trial at four Houston stroke centers, Viz.ai automated large vessel occlusion detection with phone alerts cut door-to-groin time by 11.2 minutes.","date_observed":"2022-02-27","date_basis":"event","date_precision":"day","benefit_status":"reported","source_collection":null,"source_entry":null,"account":"Investigators at UTHealth Houston activated Viz.ai software at four comprehensive stroke centers in the greater Houston area in a random stepped order between 1 January 2021 and 27 February 2022. The software read CT angiograms of patients with suspected stroke, flagged large vessel occlusions within minutes and pushed alerts with images to the care team's phones. The analysis covered 243 patients with large vessel occlusion who arrived through the emergency department and received thrombectomy. Before activation, the median time from arrival to groin puncture was 100 minutes. After activation, door-to-groin time fell by 11.2 minutes (95% confidence interval 4.2 to 18.2), and time from CT to the start of thrombectomy fell by 9.8 minutes. The trial found no difference in clot-dissolving drug timing, length of stay or functional independence at 90 days. Dr Sheth, the senior author, reported grants from Viz.ai during the study.","category":"general benefit","unexpected":false,"purpose":"Viz LVO is built to detect large vessel occlusion on CT angiography and alert the stroke team quickly so that thrombectomy starts sooner. The shorter treatment times are that purpose.","system":"Viz.ai automated large vessel occlusion detection with mobile alerting (Viz LVO)","model_version":null,"developer":"Viz.ai","deployer":"UTHealth Houston stroke program at four comprehensive stroke centers in greater Houston","location":"Four comprehensive stroke centers in the greater Houston area, Texas, United States","domain":"Healthcare","segment":null,"benefit_type":"Improved Organizational Efficiency","taxonomy_note":null,"registry_ids":{},"ratings":[{"group":"personal","depth":2,"reason":"Patients with large vessel occlusion reached thrombectomy 11.2 minutes sooner after activation; functional outcomes did not differ."},{"group":"organizational","depth":1,"reason":"Stroke teams cut door-to-groin and CT-to-treatment intervals across four centers."}],"ai_role":{"status":"assessed","statement":"The order of activation across the four centers was randomized, and a mixed-effects model compared exposed and unexposed periods. The intervention bundled automated detection with group messaging, so the trial measures the combined package."},"evidence":[{"kind":"peer-reviewed study","citation":"Ong AQC, Ang CS, Bojic I, et al. Artificial intelligence in cardiovascular care: a systematic review and meta-analysis of randomised controlled trials. eClinicalMedicine 2026. doi:10.1016/j.eclinm.2026.104123. Independent review by authors at Imperial College London, Oxford and other universities; table entry for the Houston trial.","title":"Artificial intelligence in cardiovascular care: a systematic review and meta-analysis of randomised controlled trials","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13475654/","date":"2026-08-15","written_by":"independent","quote":"AI-enabled CT angiogram paired with mobile application Door-to-groin time Significant reduction -11.20 min (-18.22 to -4.2)"},{"kind":"peer-reviewed study","citation":"Martinez-Gutierrez JC, Kim Y, Salazar-Marioni S, et al. Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times: A Cluster Randomized Clinical Trial. JAMA Neurology 2023;80(11):1182-1190. doi:10.1001/jamaneurol.2023.3206. The senior author reported grants from Viz.ai during the study.","title":"Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times: A Cluster Randomized Clinical Trial","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10507590/","date":"2023-09-18","written_by":"makers","quote":"In mixed-effects linear regression, implementation of the AI algorithm was associated with a reduction in DTG time by 11.2 minutes (95% CI, -18.22 to -4.2)."},{"kind":"peer-reviewed study","citation":"Martinez-Gutierrez JC et al. (2023), JAMA Neurology, conflict of interest disclosures.","title":"Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times: A Cluster Randomized Clinical Trial","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10507590/","date":"2023-09-18","written_by":"makers","quote":"Dr Sheth reported grants from Viz.AI and the National Institutes of Health during the conduct of the study"}],"replication":{"produced_by":["Stroke imaging was sent automatically to the cloud software, which returned results in under five minutes on average.","Clinicians and radiologists received alerts and images on a phone app."],"must_hold":["Stroke teams act on alerts and coordinate through the shared app.","Patients present directly to a thrombectomy-capable center."],"echoes":[]},"paired_incident":null,"headline":"*Viz.ai* stroke alerts shortened thrombectomy start times in Houston","metric":"door-to-groin time fell by 11.2 minutes","comparator":{"against":"Unexposed periods before software activation at the same centers","before":"Median door-to-groin time of 100 minutes before exposure","after":"11.2-minute reduction in door-to-groin time","basis":"measured","quote":"the median DTG preexposure was 100 (IQR, 81-116) minutes","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10507590/"},"later":{"status":"unknown","date":null,"note":"The cited sources do not report later results at these centers.","quote":null,"url":null},"value":null,"developer_country":"United States","deployer_country":"United States","unrated_because":null,"brief_notes":null,"brief":null,"revisions":[{"date":"2026-10-29","change":"Added the case.","source":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13475654/","editor":"AIBD"}],"confidence":"studied","shade":"high","claim_status":"Independently studied","claim_basis":"Sources: one independent peer-reviewed study and the makers' peer-reviewed study. 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