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

della Volpe-Waizel, Maria; Traber, Ghislaine L.; Maloca, Peter; Zinkernagel, Martin; Schmidt-Erfurth, Ursula; Rubin, Gary; Roska, Botond; Otto, Tilman; Weleber, Richard G.; Scholl, Hendrik P. N. (2020). New Technologies for Outcome Measures in Retinal Disease: Review from the European Vision Institute Special Interest Focus Group. Ophthalmic research, 63(2), pp. 77-87. Karger 10.1159/000501887

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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.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ophthalmology

UniBE Contributor:

Zinkernagel, Martin Sebastian

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

0030-3747

Publisher:

Karger

Language:

English

Submitter:

Martin S. Zinkernagel

Date Deposited:

19 Dec 2019 13:35

Last Modified:

02 Mar 2023 23:32

Publisher DOI:

10.1159/000501887

PubMed ID:

31352462

Uncontrolled Keywords:

Artificial intelligence Diagnostics Machine learning Retina Retinal disease Technologies

BORIS DOI:

10.7892/boris.136324

URI:

https://boris.unibe.ch/id/eprint/136324

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