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The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus

dc.rights.licenseopenen_US
dc.contributor.authorDANESE, Carla
dc.contributor.authorKALE, Aditya U
dc.contributor.authorASLAM, Tariq
dc.contributor.authorLANZETTA, Paolo
dc.contributor.authorBARRATT, Jane
dc.contributor.authorCHOU, Yu-Bai
dc.contributor.authorELDEM, Bora
dc.contributor.authorETER, Nicole
dc.contributor.authorGALE, Richard
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorKOROBELNIK, Jean-Francois
dc.contributor.authorKOZAK, Igor
dc.contributor.authorLI, Xiaorong
dc.contributor.authorLI, Xiaoxin
dc.contributor.authorLOEWENSTEIN, Anat
dc.contributor.authorRUAMVIBOONSUK, Paisan
dc.contributor.authorSAKAMOTO, Taiji
dc.contributor.authorTING, Daniel S W
dc.contributor.authorVAN WIJNGAARDEN, Peter
dc.contributor.authorWALDSTEIN, Sebastian M
dc.contributor.authorWONG, David
dc.contributor.authorWU, Lihteh
dc.contributor.authorZAPATA, Miguel A
dc.contributor.authorZARRANZ-VENTURA, Javier
dc.date.accessioned2023-11-15T08:54:50Z
dc.date.available2023-11-15T08:54:50Z
dc.date.issued2023-09-01
dc.identifier.issn1531-7021en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/184763
dc.description.abstractEnThe aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic. Most of the AI models described in the literature have not been approved for disease management purposes by regulatory authorities. These new technologies are promising as they may be able to provide personalized treatments as well as a personalized risk score for various retinal diseases. However, several issues still need to be addressed, such as the lack of a common regulatory pathway and a lack of clarity regarding the applicability of AI-enabled medical devices in different populations. It is likely that current clinical practice will need to change following the application of AI-enabled medical devices. These devices are likely to have an impact on the management of retinal disease. However, a consensus needs to be reached to ensure they are safe and effective for the overall population.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enHumans
dc.subject.enArtificial Intelligence
dc.subject.enConsensus
dc.subject.enRetinal Diseases
dc.title.enThe impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus
dc.title.alternativeCurr Opin Ophthalmolen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1097/ICU.0000000000000980en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed37326216en_US
bordeaux.journalCurrent Opinion in Ophthalmologyen_US
bordeaux.page396-402en_US
bordeaux.volume34en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue5en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamLEHAen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDBayeren_US
bordeaux.import.sourcepubmed
hal.identifierhal-04286372
hal.version1
hal.date.transferred2023-11-15T08:54:53Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Current%20Opinion%20in%20Ophthalmology&rft.date=2023-09-01&rft.volume=34&rft.issue=5&rft.spage=396-402&rft.epage=396-402&rft.eissn=1531-7021&rft.issn=1531-7021&rft.au=DANESE,%20Carla&KALE,%20Aditya%20U&ASLAM,%20Tariq&LANZETTA,%20Paolo&BARRATT,%20Jane&rft.genre=article


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