New Technologies for Outcome Measures in Retinal Disease: Review from the European Vision Institute Special Interest Focus Group.
Artificial intelligence
Diagnostics
Machine learning
Retina
Retinal disease
Technologies
Journal
Ophthalmic research
ISSN: 1423-0259
Titre abrégé: Ophthalmic Res
Pays: Switzerland
ID NLM: 0267442
Informations de publication
Date de publication:
2020
2020
Historique:
received:
21
05
2019
accepted:
03
07
2019
pubmed:
29
7
2019
medline:
8
1
2021
entrez:
29
7
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31352462
pii: 000501887
doi: 10.1159/000501887
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
77-87Informations de copyright
© 2019 S. Karger AG, Basel.