Corneal power evaluation after myopic corneal refractive surgery using artificial neural networks.

Journal: Biomedical engineering online
Published Date:

Abstract

BACKGROUND: Efficacy and high availability of surgery techniques for refractive defect correction increase the number of patients who undergo to this type of surgery. Regardless of that, with increasing age, more and more patients must undergo cataract surgery. Accurate evaluation of corneal power is an extremely important element affecting the precision of intraocular lens (IOL) power calculation and errors in this procedure could affect quality of life of patients and satisfaction with the service provided. The available device able to measure corneal power have been tested to be not reliable after myopic refractive surgery.

Authors

  • Robert Koprowski
    Department of Biomedical Computer Systems, Faculty of Computer Science and Materials Science, Institute of Computer Science, University of Silesia, ul. Będzińska 39, 41-200, Sosnowiec, Poland. robert.koprowski@us.edu.pl.
  • Michele Lanza
    Dipartimento Multidisciplinare di Scienze Mediche, Chirurgiche e Odontoiatriche, Seconda Università di Napoli, Naples, Italy.
  • Carlo Irregolare
    Centro Grandi Apparecchiature, Seconda Università di Napoli, Naples, Italy.