{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T00:30:37Z","timestamp":1793320237409,"version":"4.5.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:00:00Z","timestamp":1783382400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:00:00Z","timestamp":1783382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cardiovasc Intervent Radiol"],"DOI":"10.1007\/s00270-026-04473-9","type":"journal-article","created":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T21:04:51Z","timestamp":1783458291000},"page":"1715-1725","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Impact of Artificial Intelligence-Based Triage on Stroke Workflow Metrics: A Systematic Review and Meta-Analysis"],"prefix":"10.1007","volume":"49","author":[{"given":"Juan Carlos","family":"Barrera Gutierrez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7632-1391","authenticated-orcid":false,"given":"Elaina","family":"Vivian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimmy","family":"Shah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Meyrat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,7]]},"reference":[{"key":"4473_CR1","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1001\/jamaneurol.2024.0190","volume":"81","author":"D Renedo","year":"2024","unstructured":"Renedo D, Acosta JN, Leasure AC, et al. Burden of ischemic and hemorrhagic stroke across the US from 1990 to 2019. JAMA Neurol. 2024;81:394\u2013404. https:\/\/doi.org\/10.1001\/jamaneurol.2024.0190.","journal-title":"JAMA Neurol"},{"key":"4473_CR2","doi-asserted-by":"publisher","first-page":"e349","DOI":"10.1136\/jnis-2022-019777","volume":"15","author":"AT Rai","year":"2023","unstructured":"Rai AT, Link PS, Domico JR. Updated estimates of large and medium vessel strokes, mechanical thrombectomy trends, and future projections indicate a relative flattening of the growth curve but highlight opportunities for expanding endovascular stroke care. J Neurointerv Surg. 2023;15:e349\u201355. https:\/\/doi.org\/10.1136\/jnis-2022-019777.","journal-title":"J Neurointerv Surg"},{"issue":"2","key":"4473_CR3","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1161\/STROKEAHA.122.042022.2","volume":"55","author":"CF Prendes","year":"2024","unstructured":"Prendes CF, Rantner B, Hamwi T, Stana J, Feigin VL, Stavroulakis K, et al. Burden of stroke in Europe: an analysis of the Global Burden of Disease Study findings from 2010 to 2019. Stroke. 2024;55(2):432\u201342. https:\/\/doi.org\/10.1161\/STROKEAHA.122.042022.2.","journal-title":"Stroke"},{"issue":"7","key":"4473_CR4","doi-asserted-by":"publisher","first-page":"2122","DOI":"10.1161\/STROKEAHA.120.029949","volume":"51","author":"G Duloquin","year":"2020","unstructured":"Duloquin G, Graber M, Garnier L, Crespy V, Comby PO, Baptiste L, et al. Incidence of acute ischemic stroke with visible arterial occlusion: a population-based study (Dijon Stroke Registry). Stroke. 2020;51(7):2122\u201330. https:\/\/doi.org\/10.1161\/STROKEAHA.120.029949.","journal-title":"Stroke"},{"key":"4473_CR5","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000209424","volume":"102","author":"A de Havenon","year":"2024","unstructured":"de Havenon A, Ayodele I, Alhanti B, et al. Prediction of large vessel occlusion stroke using clinical registries for research. Neurology. 2024;102:e209424. https:\/\/doi.org\/10.1212\/WNL.0000000000209424.","journal-title":"Neurology"},{"key":"4473_CR6","doi-asserted-by":"publisher","first-page":"e558","DOI":"10.1161\/STR.0000000000000382","volume":"52","author":"WN Kernan","year":"2021","unstructured":"Kernan WN, Viera AJ, Billinger SA, et al. Primary care of adult patients after stroke: a scientific statement from the American Heart Association\/American Stroke Association. Stroke. 2021;52:e558\u201371. https:\/\/doi.org\/10.1161\/STR.0000000000000382.","journal-title":"Stroke"},{"key":"4473_CR7","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1161\/STROKEAHA.121.034534","volume":"53","author":"A Gil-Salcedo","year":"2022","unstructured":"Gil-Salcedo A, Dugravot A, Fayosse A, et al. Long-term evolution of functional limitations in stroke survivors compared with stroke-free controls: findings from 15 years of follow-up across 3 international surveys of aging. Stroke. 2022;53:228\u201337. https:\/\/doi.org\/10.1161\/STROKEAHA.121.034534.","journal-title":"Stroke"},{"key":"4473_CR8","doi-asserted-by":"publisher","first-page":"S21","DOI":"10.1016\/j.jacr.2024.02.015","volume":"21","author":"JS Pannell","year":"2024","unstructured":"Expert Panel on Neurological Imaging, Pannell JS, Corey AS, et al. ACR Appropriateness Criteria\u00ae cerebrovascular diseases-stroke and stroke-related conditions. J Am Coll Radiol. 2024;21:S21-64. https:\/\/doi.org\/10.1016\/j.jacr.2024.02.015.","journal-title":"J Am Coll Radiol"},{"key":"4473_CR9","doi-asserted-by":"publisher","first-page":"e164","DOI":"10.1161\/STR.0000000000000356","volume":"52","author":"S Ashcraft","year":"2021","unstructured":"Ashcraft S, Wilson SE, Nystr\u00f6m KV, et al. Care of the patient with acute ischemic stroke (prehospital and acute phase of care): update to the 2009 comprehensive nursing care scientific statement: a scientific statement from the American Heart Association. Stroke. 2021;52:e164\u201378. https:\/\/doi.org\/10.1161\/STR.0000000000000356.","journal-title":"Stroke"},{"key":"4473_CR10","doi-asserted-by":"publisher","unstructured":"American Association of Neurological Surgeons (AANS) American Society of Neuroradiology (ASNR) Cardiovascular and Interventional Radiology Society of Europe (CIRSE) Canadian Interventional Radiology Association (CIRA) Congress of Neurological Surgeons (CNS) European Society of Minimally Invasive Neurological Therapy (ESMINT) European Society of Neuroradiology (ESNR) European Stroke Organization (ESO) Society for Cardiovascular Angiography and Interventions (SCAI) Society of Interventional Radiology (SIR) Society of NeuroInterventional Surgery (SNIS) World Stroke Organization (WSO) Sacks D, Baxter B, Campbell BCV, et al. 2018 Multisociety consensus quality improvement revised consensus statement for endovascular therapy of acute ischemic stroke. AJNR Am J Neuroradiol 39 6 E61 E76 https:\/\/doi.org\/10.3174\/ajnr.A5638","DOI":"10.3174\/ajnr.A5638"},{"key":"4473_CR11","unstructured":"American Heart\/American Stroke Association\u2019s get with the guidelines\u00ae \u2013 stroke fact sheet. American Heart\/American Stroke Association. Updated 2018. Accessed Aug 1, 2025. https:\/\/www.heart.org\/-\/media\/Files\/Professional\/Quality-Improvement\/Get-With-the-Guidelines\/Get-With-The-Guidelines-Stroke\/Stroke-Fact-Sheet_-FINAL_UCM_501842.pdf"},{"key":"4473_CR12","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1001\/jamaneurol.2023.3206","volume":"80","author":"JC Martinez-Gutierrez","year":"2023","unstructured":"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 Neurol. 2023;80:1182\u201390. https:\/\/doi.org\/10.1001\/jamaneurol.2023.3206.","journal-title":"JAMA Neurol"},{"key":"4473_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s11910-025-01422-w","volume":"25","author":"MM Alqadi","year":"2025","unstructured":"Alqadi MM, Vidal SGM. Artificial intelligence in vascular neurology: applications, challenges, and a review of AI tools for stroke imaging, clinical decision making, and outcome prediction models. Curr Neurol Neurosci Rep. 2025;25:34. https:\/\/doi.org\/10.1007\/s11910-025-01422-w.","journal-title":"Curr Neurol Neurosci Rep"},{"key":"4473_CR14","doi-asserted-by":"publisher","first-page":"2258","DOI":"10.1007\/s12975-025-01354-0","volume":"16","author":"K Sarhan","year":"2025","unstructured":"Sarhan K, Azzam AY, Moawad MHED, Serag I, Abbas A, Sarhan AE. Automated emergent large vessel occlusion detection using Viz.ai software and its impact on stroke workflow metrics and patient outcomes in stroke centers: a systematic review and meta-analysis. Transl Stroke Res. 2025;16:2258\u201371. https:\/\/doi.org\/10.1007\/s12975-025-01354-0.","journal-title":"Transl Stroke Res"},{"key":"4473_CR15","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1177\/0962280216669183","volume":"27","author":"D Luo","year":"2018","unstructured":"Luo D, Wan X, Liu J, Tong T. Optimally estimating the sample mean from the sample size, median, mid-range, and\/or mid-quartile range. Stat Methods Med Res. 2018;27:1785\u2013805. https:\/\/doi.org\/10.1177\/0962280216669183.","journal-title":"Stat Methods Med Res"},{"key":"4473_CR16","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2288-14-135","volume":"14","author":"X Wan","year":"2014","unstructured":"Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and\/or interquartile range. BMC Med Res Methodol. 2014;14:135. https:\/\/doi.org\/10.1186\/1471-2288-14-135.","journal-title":"BMC Med Res Methodol"},{"key":"4473_CR17","unstructured":"Estimating the sample mean and standard deviation (SD) from the five-number summary and its application in meta-analysis. Hong Kong Baptist University. Accessed Aug 1, 2025. https:\/\/www.math.hkbu.edu.hk\/~tongt\/papers\/median2mean.html?_gl=1*1sh1u2j*_ga*NzEyNzk3MjEzLjE3MjU5OTkxODM.*_ga_37GXT4VGQK*czE3NTE1MDM1OTMkbzkwJGcOTMkbzkwJGcx1MTQwJGo2MCRsMCRoMA"},{"key":"4473_CR18","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1136\/neurintsurg-2021-017365","volume":"14","author":"M Al-Kawaz","year":"2022","unstructured":"Al-Kawaz M, Primiani C, Urrutia V, Hui F. Impact of RapidAI mobile application on treatment times in patients with large vessel occlusion. J Neurointerv Surg. 2022;14:233\u20136. https:\/\/doi.org\/10.1136\/neurintsurg-2021-017365.","journal-title":"J Neurointerv Surg"},{"key":"4473_CR19","unstructured":"Cirio JJ, Diluca P, Ciardi Cet al. Impacto de la inteligencia artificial en las m\u00e9tricas terap\u00e9uticas del ataque cerebrovascular durante la pandemia COVID-19 [Impact of artificial intelligence on therapeutic metrics of cerebrovascular attack during the COVID-19 pandemic]. Medicina (B Aires). 2023;83:705\u201318. Spanish."},{"key":"4473_CR20","doi-asserted-by":"publisher","first-page":"704","DOI":"10.1136\/neurintsurg-2021-017714","volume":"14","author":"L Elijovich","year":"2022","unstructured":"Elijovich L, Dornbos ID, Nickele C, et al. Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care. J Neurointerv Surg. 2022;14:704\u20138. https:\/\/doi.org\/10.1136\/neurintsurg-2021-017714.","journal-title":"J Neurointerv Surg"},{"key":"4473_CR21","doi-asserted-by":"publisher","first-page":"159101992312090","DOI":"10.1177\/15910199231209080","volume":"17","author":"NC Field","year":"2023","unstructured":"Field NC, Entezami P, Boulos AS, Dalfino J, Paul AR. Artificial intelligence improves transfer times and ischemic stroke workflow metrics. Interv Neuroradiol. 2023;17:15910199231209080. https:\/\/doi.org\/10.1177\/15910199231209080.","journal-title":"Interv Neuroradiol"},{"key":"4473_CR22","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1159\/000522423","volume":"12","author":"B Gunda","year":"2022","unstructured":"Gunda B, Neuhaus A, Sipos I, et al. Improved stroke care in a primary stroke centre using AI-decision support. Cerebrovasc Dis Extra. 2022;12:28\u201332. https:\/\/doi.org\/10.1159\/000522423.","journal-title":"Cerebrovasc Dis Extra"},{"key":"4473_CR23","doi-asserted-by":"publisher","DOI":"10.1161\/SVIN.121.000224","volume":"2","author":"AE Hassan","year":"2022","unstructured":"Hassan AE, Ringheanu VM, Preston L, Tekle WG. Artificial intelligence\u2013parallel stroke workflow tool improves reperfusion rates and door\u2010in to puncture interval. Stroke Vasc Interv Neurol. 2022;2:e000224. https:\/\/doi.org\/10.1161\/SVIN.121.000224.","journal-title":"Stroke Vasc Interv Neurol"},{"key":"4473_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1161\/SVIN.123.001119","volume":"4","author":"NM Le","year":"2024","unstructured":"Le NM, Iyyangar AS, Kim Y, et al. Machine learning\u2013enabled automated large vessel occlusion detection improves transfer times at primary stroke centers. Stroke Vasc Interv Neurol. 2024;4:1\u20138. https:\/\/doi.org\/10.1161\/SVIN.123.001119.","journal-title":"Stroke Vasc Interv Neurol"},{"key":"4473_CR25","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1159\/000515320","volume":"50","author":"JR Morey","year":"2021","unstructured":"Morey JR, Zhang X, Yaeger KA, et al. Real-world experience with artificial intelligence-based triage in transferred large vessel occlusion stroke patients. Cerebrovasc Dis. 2021;50:450\u20135. https:\/\/doi.org\/10.1159\/000515320.","journal-title":"Cerebrovasc Dis"},{"key":"4473_CR26","doi-asserted-by":"publisher","DOI":"10.3390\/jcm14041281","volume":"14","author":"YS Lim","year":"2025","unstructured":"Lim YS, Kim E, Choi WS, et al. Non-contrast computed tomography-based triage and notification for large vessel occlusion stroke: a before and after study utilizing artificial intelligence on treatment times and outcomes. J Clin Med. 2025;14:1281. https:\/\/doi.org\/10.3390\/jcm14041281.","journal-title":"J Clin Med"},{"key":"4473_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jstrokecerebrovasdis.2023.107303","volume":"32","author":"K Van Orden","year":"2023","unstructured":"Van Orden K, Meyer DM, Perrinez ES, et al. (VISIION-S): Viz.ai implementation of stroke augmented intelligence and communications platform to improve indicators and outcomes for a comprehensive stroke center and network - sustainability. J Stroke Cerebrovasc Dis. 2023;32:107303. https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2023.107303.","journal-title":"J Stroke Cerebrovasc Dis"},{"key":"4473_CR28","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2023.1179250","volume":"14","author":"JE Soun","year":"2023","unstructured":"Soun JE, Zolyan A, McLouth J, et al. Impact of an automated large vessel occlusion detection tool on clinical workflow and patient outcomes. Front Neurol. 2023;14:1179250. https:\/\/doi.org\/10.3389\/fneur.2023.1179250.","journal-title":"Front Neurol"},{"key":"4473_CR29","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1136\/neurintsurg-2019-015135","volume":"12","author":"NM Murray","year":"2020","unstructured":"Murray NM, Unberath M, Hager GD, Hui FK. Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review. J Neurointerv Surg. 2020;12:156\u201364. https:\/\/doi.org\/10.1136\/neurintsurg-2019-015135.","journal-title":"J Neurointerv Surg"},{"key":"4473_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ibmed.2024.100161","volume":"10","author":"E Zebrowitz","year":"2024","unstructured":"Zebrowitz E, Dadoo S, Brabant P, et al. The impact of artificial intelligence on large vessel occlusion stroke detection and management: a systematic review meta-analysis. Intell-Based Med. 2024;10:100161. https:\/\/doi.org\/10.1016\/j.ibmed.2024.100161.","journal-title":"Intell-Based Med"},{"key":"4473_CR31","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.wneu.2023","volume":"182","author":"W Luo","year":"2024","unstructured":"Luo W, Xu Y, Liu C, Zhang H. The influence of the novel computer-aided triage system based on artificial intelligence on endovascular therapy in patients with large vascular occlusions: a meta-analysis. World Neurosurg. 2024;182:200-207.e2. https:\/\/doi.org\/10.1016\/j.wneu.2023.","journal-title":"World Neurosurg"},{"key":"4473_CR32","doi-asserted-by":"publisher","first-page":"2399","DOI":"10.1007\/s00234-025-03716-9","volume":"67","author":"J Dantas","year":"2025","unstructured":"Dantas J, Barros G, Mutarelli A, et al. Detection of large vessel occlusion using artificial intelligence tools: a systematic review and meta-analysis. Neuroradiology. 2025;67:2399\u2013407. https:\/\/doi.org\/10.1007\/s00234-025-03716-9.","journal-title":"Neuroradiology"}],"container-title":["CardioVascular and Interventional Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00270-026-04473-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00270-026-04473-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00270-026-04473-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T15:34:52Z","timestamp":1790091292000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00270-026-04473-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,7]]},"references-count":32,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["4473"],"URL":"https:\/\/doi.org\/10.1007\/s00270-026-04473-9","relation":{},"ISSN":["1432-086X"],"issn-type":[{"value":"1432-086X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,7]]},"assertion":[{"value":"5 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The author declare that they have no conflict of interest.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"For this type of study formal consent is not required. This article does not contain any studies with human participants performed by any of the authors.","order":2,"name":"Ethics","label":"Ethical Approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"For this type of study consent for publication is not required.","order":3,"name":"Ethics","label":"Consent for Publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"For this type of study informed consent is not required.","order":4,"name":"Ethics","label":"Informed Consent","group":{"name":"EthicsHeading","label":"Declarations"}}]}}