Artificial intelligence for detection of optic disc abnormalities.
Journal
Current opinion in neurology
ISSN: 1473-6551
Titre abrégé: Curr Opin Neurol
Pays: England
ID NLM: 9319162
Informations de publication
Date de publication:
02 2020
02 2020
Historique:
pubmed:
4
12
2019
medline:
20
1
2021
entrez:
3
12
2019
Statut:
ppublish
Résumé
The aim of this review is to highlight novel artificial intelligence-based methods for the detection of optic disc abnormalities, with particular focus on neurology and neuro-ophthalmology. Methods for detection of optic disc abnormalities on retinal fundus images have evolved considerably over the last few years, from classical ophthalmoscopy to artificial intelligence-based identification methods being applied to retinal imaging with the aim of predicting sight and life-threatening complications of underlying brain or optic nerve conditions. Artificial intelligence and in particular newly developed deep-learning systems are playing an increasingly important role for the detection and classification of acquired neuro-ophthalmic optic disc abnormalities on ocular fundus images. The implementation of automatic deep-learning methods for detection of abnormal optic discs, coupled with innovative hardware solutions for fundus imaging, could revolutionize the practice of neurologists and other non-ophthalmic healthcare providers.
Identifiants
pubmed: 31789676
doi: 10.1097/WCO.0000000000000773
pii: 00019052-202002000-00017
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
106-110Références
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