Automated Measurement and Three-Dimensional Fitting of Corneal Ulcerations and Erosions via AI-Based Image Analysis.

Journal: Current eye research
Published Date:

Abstract

PURPOSE: Artificial intelligence (AI)-tools hold great potential to compensate for missing resources in health-care systems but often fail to be implemented in clinical routine. Intriguingly, no-code and low-code technologies allow clinicians to develop Artificial intelligence (AI)-tools without requiring in-depth programming knowledge. Clinician-driven projects allow to adequately identify and address real clinical needs and, therefore, hold superior potential for clinical implementation. In this light, this study aimed for the clinician-driven development of a tool capable of measuring corneal lesions relative to total corneal surface area and eliminating inaccuracies in two-dimensional measurements by three-dimensional fitting of the corneal surface.

Authors

  • David A Merle
    Department of Ophthalmology, Medical University of Graz, Graz, Austria.
  • Astrid Heidinger
    Department of Ophthalmology, Medical University of Graz, Graz, Austria.
  • Jutta Horwath-Winter
    Department of Ophthalmology, Medical University of Graz, Graz, Austria.
  • Wolfgang List
    Department of Ophthalmology, Medical University of Graz, Graz, Austria.
  • Heimo Bauer
    Department of Ophthalmology, Medical University of Graz, Graz, Austria.
  • Michael Weissensteiner
    KML Vision GmbH, Graz, Austria.
  • Patrick Kraus-Füreder
    KML Vision GmbH, Graz, Austria.
  • Michael Mayrhofer-Reinhartshuber
    KML Vision GmbH, Graz, Austria.
  • Philipp Kainz
    KML Vision GmbH, 8020 Graz, Austria.
  • Gernot Steinwender
    Department of Ophthalmology, Medical University of Graz, Graz, Austria.
  • Andreas Wedrich
    Department of Ophthalmology, Medical University of Graz, Graz, Austria.