Automated quantification of atrophy and acute ischemic volume for outcome prediction in endovascular thrombectomy.

Frontiers in neurology(2022)

引用 1|浏览9
暂无评分
摘要
Combinations of automated software-based imaging analysis and clinical data can be useful for predicting short-term neurological outcome and may improve long-term prognostication in EVT. These results provide a basis for future development of predictive tools built into decision-aiding software in stroke.
更多
查看译文
关键词
artificial intelligence,endovascular thrombectomy,machine learning,neuroimaging,neuroradiology,stroke,thrombolysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要