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Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke.

Siqi ZhangMiao ZhangShuai MaQingyong WangYouyang QuZhongren SunTiansong Yang
Published in: BioMed research international (2021)
In order to evaluate the importance of deep learning techniques in stroke diseases, this paper systematically reviews the relevant literature. Deep learning techniques have a significant impact on the diagnosis, treatment, and prediction of stroke. In addition, this study also discusses the current bottlenecks and the future development prospects of deep learning technology.
Keyphrases
  • deep learning
  • atrial fibrillation
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • current status
  • systematic review
  • randomized controlled trial
  • cerebral ischemia
  • brain injury