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Deep learning for noninvasive liver fibrosis classification: A systematic review.

Roi AntebyEyal KlangNir HoreshIdo NachmanyOrit ShimonYiftach BarashUri KopylovShelly Soffer
Published in: Liver international : official journal of the International Association for the Study of the Liver (2021)
Deep learning has the potential to play an emerging role in liver fibrosis classification. Yet, it is still limited by a relatively small number of retrospective studies. Clinicians should facilitate the use of this technology by sharing databases and standardized reports. This may optimize the noninvasive evaluation of liver fibrosis on a large scale.
Keyphrases
  • liver fibrosis
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • big data
  • palliative care
  • social media
  • cross sectional
  • healthcare
  • emergency department
  • adverse drug