New Technologies for Outcome Measures in Retinal Disease: Review from the European Vision Institute Special Interest Focus Group

Maria Della Volpe-Waizel, Ghislaine L. Traber, Peter Maloca, Martin Zinkernagel, Ursula Schmidt-Erfurth, Gary Rubin, Botond Roska, Tilman Otto, Richard G. Weleber, Hendrik P.N. Scholl

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations

Abstract

Novel diagnostic tools to measure retinal function and structure are rapidly being developed and introduced into clinical use. Opportunities exist to use these informative and robust measures as endpoints for clinical trials to determine efficacy and to monitor safety of therapeutic interventions. In order to inform researchers and clinician-scientists about these new diagnostic tools, a workshop was organized by the European Vision Institute. Invited speakers highlighted the recent advances in state-of-the-art technologies for outcome measures in the field of retina. This review highlights the workshop's presentations in the context of published literature.

Original languageEnglish (US)
Pages (from-to)77-87
Number of pages11
JournalOphthalmic Research
Volume63
Issue number2
DOIs
StatePublished - Mar 1 2020

Keywords

  • Artificial intelligence
  • Diagnostics
  • Machine learning
  • Retina
  • Retinal disease
  • Technologies

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience

Fingerprint

Dive into the research topics of 'New Technologies for Outcome Measures in Retinal Disease: Review from the European Vision Institute Special Interest Focus Group'. Together they form a unique fingerprint.

Cite this