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"Predicting intraocular lens tilt using a machine learning concept".

Klemens WaserAndreas HonederNino HirnschallHaidar KhalilLeon PombergerPeter LaubichlerSiegfried MariacherMatthias Bolz
Published in: Journal of cataract and refractive surgery (2024)
Post-operative IOL tilt showed excellent predictability using pre-operative biometry data and a combination of partial least squares regression and a machine learning algorithm. Pre-operative lens tilt, pupil decentration, lens thickness, axial eye length and pre-operative lens decentration were found to be the most relevant parameters for this prediction model.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • cataract surgery
  • deep learning
  • optical coherence tomography