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Clinically applicable deep learning-based decision aids for treatment of neovascular AMD.

Matthias GutfleischOliver EsterSökmen AydinMartin QuassowskiGeorg SpitalAlbrecht LommatzschKai RothausAdam Michael DubisDaniel Pauleikhoff
Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2022)
The developed AI algorithms can define and differentiate presentations of AMD, which should be referred for treatment or retreatment with anti-VEGF therapy. This may support non-retina specialists to interpret SD-OCT on expert opinion level. The individual decision of the algorithm can be supervised by saliency maps.
Keyphrases
  • deep learning
  • machine learning
  • age related macular degeneration
  • artificial intelligence
  • convolutional neural network
  • combination therapy
  • antiretroviral therapy
  • cell therapy
  • clinical practice
  • bone marrow