Artificial Intelligence, Machine Learning and Calculation of Intraocular Lens Power.

Journal: Klinische Monatsblatter fur Augenheilkunde
Published Date:

Abstract

BACKGROUND AND PURPOSE: In the last decade, artificial intelligence and machine learning algorithms have been more and more established for the screening and detection of diseases and pathologies, as well as for describing interactions between measures where classical methods are too complex or fail. The purpose of this paper is to model the measured postoperative position of an intraocular lens implant after cataract surgery, based on preoperatively assessed biometric effect sizes using techniques of machine learning.

Authors

  • Achim Langenbucher
    Institut für Experimentelle Ophthalmologie, Universität des Saarlandes, Homburg/Saar, Deutschland.
  • Nóra Szentmáry
    Dr. Rolf M. Schwiete-Zentrum für Limbusstammzellforschung und kongenitale Aniridie, Universität des Saarlandes, Saarbrücken, Deutschland.
  • Jascha Wendelstein
    Abteilung für Augenheilkunde und Optometrie, Johannes-Kepler-Universität Linz, Österreich.
  • Peter Hoffmann
    Augen- und Laserklinik Castrop-Rauxel, Deutschland.