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Ophthalmic Res. 2019 Jul 26:1-11. doi: 10.1159/000501887. [Epub ahead of print]

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

Author information

1
Department of Ophthalmology, University of Basel, Basel, Switzerland.
2
Institute of Molecular and Clinical Ophthalmology (IOB), Basel, Switzerland.
3
Department of Ophthalmology and Department of Clinical Research, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
4
Medical University of Vienna, Department of Ophthalmology, Vienna, Austria.
5
UCL University College London, Institute of Ophthalmology, London, United Kingdom.
6
Heidelberg Engineering GmbH, Heidelberg, Germany.
7
Casey Eye Institute, Departments of Ophthalmology and Molecular and Medical Genetics, University of Oregon Health and Science University, Portland, Oregon, USA.
8
Department of Ophthalmology, University of Basel, Basel, Switzerland, Hendrik.Scholl@usb.ch.
9
Institute of Molecular and Clinical Ophthalmology (IOB), Basel, Switzerland, Hendrik.Scholl@usb.ch.

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.

KEYWORDS:

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

PMID:
31352462
DOI:
10.1159/000501887
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