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Prediction of the axial lens position after cataract surgery using deep learning algorithms and multilinear regression.

Achim LangenbucherNóra SzentmáryAlan CaylessJascha A WendelsteinPeter Hoffmann
Published in: Acta ophthalmologica (2022)
Modern prediction techniques may have the potential to outperform traditional multilinear regression techniques as they can deal easily with nonlinearities between input and output parameters. However, in all cases a cross-validation is mandatory to avoid overfitting and misinterpretation of the results.
Keyphrases
  • cataract surgery
  • deep learning
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • risk assessment
  • human health