Application of Artificial Intelligence in Neuroimaging of Stroke
Artificial intelligence (AI) has risen rapidly in the research field of computer science. The amount of data generated in the process of medical imaging is huge, so it is very suitable to use artificial intelligence technology for related data processing. Neuroimaging of patients with stroke plays a...
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Editorial Office of Medical Journal of Peking Union Medical College Hospital
2021
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oai:doaj.org-article:b43a79afdffc448facfd68ac6fcfa68e2021-12-01T01:40:17ZApplication of Artificial Intelligence in Neuroimaging of Stroke1674-908110.12290/xhyxzz.2021-0491https://doaj.org/article/b43a79afdffc448facfd68ac6fcfa68e2021-10-01T00:00:00Zhttps://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2021-0491https://doaj.org/toc/1674-9081Artificial intelligence (AI) has risen rapidly in the research field of computer science. The amount of data generated in the process of medical imaging is huge, so it is very suitable to use artificial intelligence technology for related data processing. Neuroimaging of patients with stroke plays a key role in clinical diagnosis, treatment and follow-up. AI technology plays an increasingly important role in the processing and analysis of imaging data of stroke. This paper mainly reviews the research progress of AI technology in neuroimaging of ischemic and hemorrhagic stroke, focusing on the detection of ischemic stroke, judgment of ischemic state of responsible brain area and treatment evaluation, as well as the application of AI technology in the diagnosis, quantitative analysis and treatment evaluation of hemorrhagic stroke. At the same time, the current situation of its clinical transformation application was analyzed. Furthermore, it discusses the main limitations of the current application of AI in stroke neuroimaging, and prospects for future development.HAN XiaoweiLI MingZHANG BingEditorial Office of Medical Journal of Peking Union Medical College Hospitalarticleartificial intelligenceischemic strokehemorrhagic strokeimage processingquantitative analysisMedicineRZHXiehe Yixue Zazhi, Vol 12, Iss 5, Pp 749-754 (2021) |
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artificial intelligence ischemic stroke hemorrhagic stroke image processing quantitative analysis Medicine R |
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artificial intelligence ischemic stroke hemorrhagic stroke image processing quantitative analysis Medicine R HAN Xiaowei LI Ming ZHANG Bing Application of Artificial Intelligence in Neuroimaging of Stroke |
description |
Artificial intelligence (AI) has risen rapidly in the research field of computer science. The amount of data generated in the process of medical imaging is huge, so it is very suitable to use artificial intelligence technology for related data processing. Neuroimaging of patients with stroke plays a key role in clinical diagnosis, treatment and follow-up. AI technology plays an increasingly important role in the processing and analysis of imaging data of stroke. This paper mainly reviews the research progress of AI technology in neuroimaging of ischemic and hemorrhagic stroke, focusing on the detection of ischemic stroke, judgment of ischemic state of responsible brain area and treatment evaluation, as well as the application of AI technology in the diagnosis, quantitative analysis and treatment evaluation of hemorrhagic stroke. At the same time, the current situation of its clinical transformation application was analyzed. Furthermore, it discusses the main limitations of the current application of AI in stroke neuroimaging, and prospects for future development. |
format |
article |
author |
HAN Xiaowei LI Ming ZHANG Bing |
author_facet |
HAN Xiaowei LI Ming ZHANG Bing |
author_sort |
HAN Xiaowei |
title |
Application of Artificial Intelligence in Neuroimaging of Stroke |
title_short |
Application of Artificial Intelligence in Neuroimaging of Stroke |
title_full |
Application of Artificial Intelligence in Neuroimaging of Stroke |
title_fullStr |
Application of Artificial Intelligence in Neuroimaging of Stroke |
title_full_unstemmed |
Application of Artificial Intelligence in Neuroimaging of Stroke |
title_sort |
application of artificial intelligence in neuroimaging of stroke |
publisher |
Editorial Office of Medical Journal of Peking Union Medical College Hospital |
publishDate |
2021 |
url |
https://doaj.org/article/b43a79afdffc448facfd68ac6fcfa68e |
work_keys_str_mv |
AT hanxiaowei applicationofartificialintelligenceinneuroimagingofstroke AT liming applicationofartificialintelligenceinneuroimagingofstroke AT zhangbing applicationofartificialintelligenceinneuroimagingofstroke |
_version_ |
1718405982227267584 |