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Artificial Intelligence and OCT Angiography in Full Thickness Macular Hole. New Developments for Personalized Medicine.

Stanislao RizzoAlfonso SavastanoJacopo LenkowiczMaria Cristina SavastanoLuca BoldriniDaniela BacheriniBenedetto FalsiniVincenzo Valentini
Published in: Diagnostics (Basel, Switzerland) (2021)
The AI-based analysis of preoperative OCT-A images of eyes affected by FTMH may be a useful support system in setting up visual acuity recovery prediction. The combination of preoperative SVP and DVP images showed a significant morphological predictive performance for visual acuity recovery.
Keyphrases
  • optical coherence tomography
  • artificial intelligence
  • deep learning
  • machine learning
  • diabetic retinopathy
  • big data
  • patients undergoing
  • optic nerve
  • convolutional neural network
  • computed tomography