Background: Endovascular thrombectomy improves outcomes and reduces mortality for large vessel occlusion (LVO) and is time-sensitive. Computer automation may aid in the early detection of LVOs, but false values may lead to alarm desensitization. We compared Viz LVO and Rapid LVO for automated LVO detection., Methods: Data were retrospectively extracted from Rapid LVO and Viz LVO running concurrently from January 2022 to January 2023 on CT angiography (CTA) images compared with a radiologist interpretation. We calculated diagnostic accuracy measures and performed a McNemar test to look for a difference between the algorithms' errors. We collected demographic data, comorbidities, ejection fraction (EF), and imaging features and performed a multiple logistic regression to determine if any of these variables predicted the incorrect classification of LVO on CTA., Results: 360 participants were included, with 47 large vessel occlusions. Viz LVO and Rapid LVO had a specificity of 0.96 and 0.85, a sensitivity of 0.87 and 0.87, a positive predictive value of 0.75 and 0.46, and a negative predictive value of 0.98 and 0.97, respectively. A McNemar test on correct and incorrect classifications showed a statistically significant difference between the two algorithms' errors (P=0.00000031). A multiple logistic regression showed that low EF (Viz P=0.00125, Rapid P=0.0286) and Modified Woodcock Score >1 (Viz P=0.000198, Rapid P=0.000000975) were significant predictors of incorrect classification., Conclusion: Rapid LVO produced a significantly larger number of false positive values that may contribute to alarm desensitization, leading to missed alarms or delayed responses. EF and intracranial atherosclerosis were significant predictors of incorrect predictions., Competing Interests: Competing interests: HCA Healthcare has a minority equity stake in VIZ.ai and also purchases products from the company for use in its facilities. AH is a consultant and a speaker for Viz.ai, which develops the Viz LVO algorithm that we tested, and he is also involved in a study sponsored by Viz.ai called the LVO Synchronise Study, which looks at the impact of a Viz LVO implementation on patient timing and outcomes. Our other authors do not have any direct conflicts of interest. In the interest of full disclosure, here is a list of conflicts of related companies that are in a related field that we do not believe directly impact this study. YA has stock in Sanavention inc. ME has stock in Galaxy therapeutics. AH is a Consultant/Speaker for Medtronic, Microvention, Stryker, Penumbra, Cerenovus, Genentech, GE Healthcare, Scientia, Balt, Viz.ai, Insera therapeutics, Proximie, NeuroVasc, NovaSignal, Vesalio, Rapid Medical, Imperative Care and Galaxy Therapeutics. AH is also a principal investigator of COMPLETE study – Penumbra, LVO SYNCHRONISE – Viz.ai, Millipede Stroke Trial - Perfuze, RESCUE - ICAD - Medtronic. AH is also on the Steering Committee/Publication Committee of SELECT, DAWN, SELECT 2, EXPEDITE II, EMBOLISE, CLEAR, ENVI, DELPHI, and DISTALS. He is also DSMB of the COMAND trial., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)