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Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning
OBJECTIVE: Flow diverters (FDs) aim to occlude intracranial aneurysms (IAs) while preserving flow to essential arteries. Incomplete occlusion exposes patients to risks of thromboembolic complications and rupture. A priori assessment of FD-treatment outcome could enable treatment optimization leading...
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| Опубликовано в: : | Neurosurg Focus |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6421840/ https://ncbi.nlm.nih.gov/pubmed/30453461 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3171/2018.8.FOCUS18332 |
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