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...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Neurosurg Focus
Главные авторы: Paliwal, Nikhil, Jaiswal, Prakhar, Tutino, Vincent M., Shallwani, Hussain, Davies, Jason M., Siddiqui, Adnan H., Rai, Rahul, Meng, Hui
Формат: Artigo
Язык:Inglês
Опубликовано: 2018
Предметы:
Article
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
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы