Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges

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dc.authoridHuemer, Josef/0000-0001-5238-8295
dc.authoridAntaki, Fares/0000-0001-6679-7276
dc.authoridKeane, Pearse/0000-0002-9239-745X
dc.contributor.authorSonmez, Sadi Can
dc.contributor.authorSevgi, Mertcan
dc.contributor.authorAntaki, Fares
dc.contributor.authorHuemer, Josef
dc.contributor.authorKeane, Pearse A.
dc.date.accessioned2024-08-31T07:50:12Z
dc.date.available2024-08-31T07:50:12Z
dc.date.issued2024
dc.departmentEge Üniversitesien_US
dc.description.abstractThe rapid advancements in generative artificial intelligence are set to significantly influence the medical sector, particularly ophthalmology. Generative adversarial networks and diffusion models enable the creation of synthetic images, aiding the development of deep learning models tailored for specific imaging tasks. Additionally, the advent of multimodal foundational models, capable of generating images, text and videos, presents a broad spectrum of applications within ophthalmology. These range from enhancing diagnostic accuracy to improving patient education and training healthcare professionals. Despite the promising potential, this area of technology is still in its infancy, and there are several challenges to be addressed, including data bias, safety concerns and the practical implementation of these technologies in clinical settings.en_US
dc.description.sponsorshipUK Research and Innovationen_US
dc.description.sponsorshipThis study was funded by UK Research and Innovation.en_US
dc.identifier.doi10.1136/bjo-2024-325458
dc.identifier.issn0007-1161
dc.identifier.issn1468-2079
dc.identifier.pmid38925907en_US
dc.identifier.scopus2-s2.0-85197598123en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1136/bjo-2024-325458
dc.identifier.urihttps://hdl.handle.net/11454/105141
dc.identifier.wosWOS:001258492900001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherBmj Publishing Groupen_US
dc.relation.ispartofBritish Journal of Ophthalmologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240831_Uen_US
dc.subjectPublic Healthen_US
dc.subjectMedical Educationen_US
dc.subjectDiagnostic Tests/Investigationen_US
dc.subjectPrognosisen_US
dc.titleGenerative artificial intelligence in ophthalmology: current innovations, future applications and challengesen_US
dc.typeReview Articleen_US

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