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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorARNOULD, Louis
dc.contributor.authorMERIAUDEAU, Fabrice
dc.contributor.authorGUENANCIA, Charles
dc.contributor.authorGERMANESE, Clement
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDELCOURT, Cécile
ORCID: 0000-0002-2099-0481
IDREF: 035105291
dc.contributor.authorKAWASAKI, Ryo
dc.contributor.authorCHEUNG, Carol Y.
dc.contributor.authorCREUZOT-GARCHER, Catherine
dc.contributor.authorGRZYBOWSKI, Andrzej
dc.date.accessioned2023-02-14T13:12:21Z
dc.date.available2023-02-14T13:12:21Z
dc.date.issued2022-12-23
dc.identifier.issn2193-8245en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/171942
dc.description.abstractEnThe healthcare burden of cardiovascular diseases remains a major issue worldwide. Understanding the underlying mechanisms and improving identification of people with a higher risk profile of systemic vascular disease through noninvasive examinations is crucial. In ophthalmology, retinal vascular network imaging is simple and noninvasive and can provide in vivo information of the microstructure and vascular health. For more than 10 years, different research teams have been working on developing software to enable automatic analysis of the retinal vascular network from different imaging techniques (retinal fundus photographs, OCT angiography, adaptive optics, etc.) and to provide a description of the geometric characteristics of its arterial and venous components. Thus, the structure of retinal vessels could be considered a witness of the systemic vascular status. A new approach called "oculomics" using retinal image datasets and artificial intelligence algorithms recently increased the interest in retinal microvascular biomarkers. Despite the large volume of associated research, the role of retinal biomarkers in the screening, monitoring, or prediction of systemic vascular disease remains uncertain. A PubMed search was conducted until August 2022 and yielded relevant peer-reviewed articles based on a set of inclusion criteria. This literature review is intended to summarize the state of the art in oculomics and cardiovascular disease research.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subject.enArtificial intelligence
dc.subject.enDeep learning
dc.subject.enRetina
dc.subject.enCardiovascular disease
dc.subject.enOCT-angiography
dc.subject.enAdaptive optics
dc.subject.enOculomics
dc.subject.enFundus photographs
dc.subject.enRetinal vascular imaging
dc.subject.enRetinal vessels
dc.title.enUsing Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review
dc.title.alternativeOphthalmol Theren_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s40123-022-00641-5en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed36562928en_US
bordeaux.journalOphthalmology and Therapyen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamLEHA_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDFondation de Franceen_US
hal.identifierhal-03988450
hal.version1
hal.date.transferred2023-02-14T13:12:24Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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