Hypothesis generation in the context of an ophthalmic application

  • Authors:
  • Klaus Peter Scherer;Helmut Guth;Thomas Graf

  • Affiliations:
  • Institut fuer Angewandte Informatik, Forschungszentrum Karlsruhe, Germany;Institut fuer Angewandte Informatik, Forschungszentrum Karlsruhe, Germany;Institut fuer Angewandte Informatik, Forschungszentrum Karlsruhe, Germany and DHBW Karlsruhe

  • Venue:
  • ACS'09 Proceedings of the 9th WSEAS international conference on Applied computer science
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The task is to find out an optimized selection of a lens implant for a surgical intervention in human eyes. Today, most procedures neglect the selection dependant consequences, because of no knowledge or uncertain relations between the selection itself and the subsequent consequences. Sometimes also opposed expert opinions are found concerning the dependencies. These facts favour a computer assisted IOL (intraocular lens) selection system, which supports the surgeon to choose the best IOL implant for the patient. Based on this aim, logical methods and models for hypothesis generation are developed especially with consideration of uncertainty.