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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)
Postoperative IOL tilt showed excellent predictability using preoperative biometry data and a combination of partial least squares regression and a machine learning algorithm. Preoperative lens tilt, pupil decentration, lens thickness, axial eye length, and preoperative lens decentration were found to be the most relevant parameters for this prediction model.
Keyphrases
  • machine learning
  • patients undergoing
  • big data
  • artificial intelligence
  • deep learning
  • cataract surgery
  • electronic health record
  • neural network