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Deep learning-based personalised outcome prediction after acute ischaemic stroke.

Doo-Young KimKang Ho ChoiJa-Hae KimJina HongSeong-Min ChoiMan-Seok ParkKi-Hyun Cho
Published in: Journal of neurology, neurosurgery, and psychiatry (2023)
Deep learning models using clinical data and brain images could improve the prediction of MACEs and provide personalised outcome prediction for patients with AIS. Deep learning models will allow us to develop more accurate and tailored prognostic prediction systems that outperform traditional models.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • big data
  • high resolution
  • blood brain barrier
  • resting state
  • data analysis