Cargando…
Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel Occlusion
Purpose: Recently developed machine-learning algorithms have demonstrated strong performance in the detection of intracranial hemorrhage (ICH) and large vessel occlusion (LVO). However, their generalizability is often limited by geographic bias of studies. The aim of this study was to validate a com...
Autores principales: | McLouth, Joel, Elstrott, Sebastian, Chaibi, Yasmina, Quenet, Sarah, Chang, Peter D., Chow, Daniel S., Soun, Jennifer E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116960/ https://www.ncbi.nlm.nih.gov/pubmed/33995252 http://dx.doi.org/10.3389/fneur.2021.656112 |
Ejemplares similares
-
Impact of an automated large vessel occlusion detection tool on clinical workflow and patient outcomes
por: Soun, Jennifer E., et al.
Publicado: (2023) -
Prognosis and Predictors of Symptomatic Intracranial Hemorrhage After Endovascular Treatment of Large Vessel Occlusion Stroke
por: Shen, Huixin, et al.
Publicado: (2022) -
The Large ARtery Intracranial Occlusion Stroke Scale: A New Tool With High Accuracy in Predicting Large Vessel Occlusion
por: Vidale, Simone, et al.
Publicado: (2019) -
Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center
por: Schlossman, Jacob, et al.
Publicado: (2022) -
Endovascular and Clinical Outcomes of Vertebrobasilar Intracranial Atherosclerosis-Related Large Vessel Occlusion
por: Baek, Jang-Hyun, et al.
Publicado: (2019)