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Revascularization Outcome Prediction for A Direct Aspiration-First Pass Technique (ADAPT) from Pre-Treatment Imaging and Machine Learning
A direct aspiration-first pass technique (ADAPT) has recently gained popularity for the treatment of large vessel ischemic stroke. Here, we sought to create a machine learning-based model that uses pre-treatment imaging metrics to predict successful outcomes for ADAPT in middle cerebral artery (MCA)...
Autores principales: | Patel, Tatsat R., Waqas, Muhammad, Sarayi, Seyyed M. M. J., Ren, Zeguang, Borlongan, Cesario V., Dossani, Rimal, Levy, Elad I., Siddiqui, Adnan H., Snyder, Kenneth V., Davies, Jason M., Mokin, Maxim, Tutino, Vincent M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534082/ https://www.ncbi.nlm.nih.gov/pubmed/34679386 http://dx.doi.org/10.3390/brainsci11101321 |
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