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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Neurosurg Focus |
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| Κύριοι συγγραφείς: | , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2018
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| Θέματα: | |
| Διαθέσιμο Online: | 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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