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Rupture risk prediction of cerebral aneurysms using a novel convolutional neural network-based deep learning model.

Hyeondong YangKwang-Chun ChoJung-Jae KimJae Ho KimYong Bae KimJe Hoon Oh
Published in: Journal of neurointerventional surgery (2022)
CNN-based deep learning algorithm using hemodynamic factors, including WSS and strain, could be an effective tool for predicting rupture risk in cerebral aneurysms with good predictive accuracy.
Keyphrases
  • deep learning
  • convolutional neural network
  • subarachnoid hemorrhage
  • artificial intelligence
  • machine learning
  • cerebral ischemia
  • brain injury
  • cerebral blood flow
  • blood brain barrier