A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on Behalf of the Stakeholder Taskforce for Artificial Intelligence–Assisted Robotic Thrombectomy (START)

Although we are making progress in overcoming infectious diseases and cancer, one of the major medical challenges of the mid‐21st century will be the increasing prevalence of stroke. Occlusions in large vessels are especially debilitating, yet effective treatment—needed within hours to achieve best...

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Autori principali:	Harry Robertshaw, Anna Barnes, Phil Blakelock, Raphael Blanc, Robert Crossley, Rebecca Fahrig, Ameer E. Hassan, Benjamin Jackson, Lennart Karstensen, Neelam Kaur, Markus Kowarschik, Jeremy Lynch, Franziska Mathis‐Ullrich, Dwight Meglan, Vitor Mendes Pereira, Mouloud Ourak, Matteo Pantano, S. M. Hadi Sadati, Alice Taylor‐Gee, Tom Vercauteren, Phil White, Alejandro Granados, Thomas C. Booth
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2026-04-01
Serie:	Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Soggetti:	artificial intelligence endovascular intervention machine learning mechanical thrombectomy robotics stroke
Accesso online:	https://www.ahajournals.org/doi/10.1161/JAHA.125.044931
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