Department of Radiology, Stanford University, Stanford, CA.
Top Magn Reson Imaging. 2021 Aug 1;30(4):187-195. doi: 10.1097/RMR.0000000000000290.
Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stroke treatment and secondary prevention. The use of artificial intelligence, and in particular, deep learning, to synthesize large amounts of data and to understand better how clinical and imaging data can be leveraged to improve stroke care promises a new era of stroke care. In this article, we review common deep learning model structures for stroke imaging, evaluation metrics for model performance, and studies that investigated deep learning application in acute ischemic stroke care and secondary prevention.
高级磁共振成像已被用作急性缺血性脑卒中治疗和二级预防的选择标准。人工智能的应用，特别是深度学习，用于合成大量数据，并更好地理解如何利用临床和成像数据来改善脑卒中的治疗，有望开启脑卒中治疗的新纪元。本文回顾了脑卒中成像中常见的深度学习模型结构、模型性能评估指标以及研究深度学习在急性缺血性脑卒中治疗和二级预防中的应用。
