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Research progress of deep learning in stroke diagnosis and prevention
ZHANG Siqi  YANG Tiansong  MA Shuai  ZHANG Miao 

Cite this article as: Zhang SQ, Yang TS, Ma S, et al. Research progress of deep learning in stroke diagnosis and prevention[J]. Chin J Magn Reson Imaging, 2022, 13(11): 125-128. DOI:10.12015/issn.1674-8034.2022.11.024.


[Abstract] In recent years, with the rapid development of artificial intelligence technology, computer science with deep learning as the core content has been widely used in the medical field. Stroke is a common cause of human death, and deep learning has great application value in stroke diagnosis and prevention. In order to evaluate the importance of deep learning technology in stroke disease, this paper conducts a systematic review of deep learning in stroke diagnosis, treatment and prediction, and also discusses the current bottlenecks and the future development prospects of deep learning technology, hoping to provide new directions for further research by clinical and medical researchers.
[Keywords] cerebral stroke；deep learning；artificial intelligence；imaging；diagnosis and treatment；magnetic resonance imaging

ZHANG Siqi1   YANG Tiansong2   MA Shuai1   ZHANG Miao3*  

1 Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

2 Academic Affairs Section, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

3 Acupuncture and Moxibustion Consulting Room No. 8, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, China

Zhang M, E-mail: 13845088833@139.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82174509).
Received  2022-04-06
Accepted  2022-09-29
DOI: 10.12015/issn.1674-8034.2022.11.024
Cite this article as: Zhang SQ, Yang TS, Ma S, et al. Research progress of deep learning in stroke diagnosis and prevention[J]. Chin J Magn Reson Imaging, 2022, 13(11): 125-128. DOI:10.12015/issn.1674-8034.2022.11.024.

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