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Prediction of IOL decentration, tilt and axial position using anterior segment OCT data.

Achim LangenbucherNóra SzentmáryAlan CaylessJascha WendelsteinPeter Hoffmann
Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2023)
Neural network or linear regression-based prediction models for IOL decentration, tilt and axial lens position could be used for modern IOL power calculation schemes dealing with 'real' IOL positions and for indications for premium lenses, for which misplacement is known to induce photic effects and image distortion.
Keyphrases
  • neural network
  • deep learning
  • electronic health record
  • optical coherence tomography
  • big data
  • cataract surgery
  • artificial intelligence
  • optic nerve