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Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus

dc.rights.licenseopenen_US
dc.contributor.authorCHOU, Yu-Bai
dc.contributor.authorKALE, Aditya U
dc.contributor.authorLANZETTA, Paolo
dc.contributor.authorASLAM, Tariq
dc.contributor.authorBARRATT, Jane
dc.contributor.authorDANESE, Carla
dc.contributor.authorELDEM, Bora
dc.contributor.authorETER, Nicole
dc.contributor.authorGALE, Richard
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorKOROBELNIK, Jean-Francois
ORCID: 0000-0002-4438-9535
IDREF: 028739272
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.accessioned2023-11-06T16:50:46Z
dc.date.available2023-11-06T16:50:46Z
dc.date.issued2023-09-01
dc.identifier.issn1531-7021en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/184641
dc.description.abstractEnThe application of artificial intelligence (AI) technologies in screening and diagnosing retinal diseases may play an important role in telemedicine and has potential to shape modern healthcare ecosystems, including within ophthalmology. In this article, we examine the latest publications relevant to AI in retinal disease and discuss the currently available algorithms. We summarize four key requirements underlining the successful application of AI algorithms in real-world practice: processing massive data; practicability of an AI model in ophthalmology; policy compliance and the regulatory environment; and balancing profit and cost when developing and maintaining AI models. The Vision Academy recognizes the advantages and disadvantages of AI-based technologies and gives insightful recommendations for future directions.
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.enEcosystem
dc.subject.enAlgorithms
dc.subject.enRetinal Diseases
dc.title.enCurrent status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus
dc.title.alternativeCurr Opin Ophthalmolen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1097/ICU.0000000000000979en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed37326222en_US
bordeaux.journalCurrent Opinion in Ophthalmologyen_US
bordeaux.page403-413en_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-04272671
hal.version1
hal.date.transferred2023-11-06T16:50:50Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
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