Synergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease

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dc.contributor.authorDalia Camacho‐García‐Formentí
dc.contributor.authorGabriela Baylón-Vázquez
dc.contributor.authorKaren Janeth Arriozola-Rodríguez
dc.contributor.authorEnrique Avalos-Ramirez
dc.contributor.authorCurt Hartleben-Matkin
dc.contributor.authorHugo Valdez-Flores
dc.contributor.authorDamaris Hodelin-Fuentes
dc.contributor.authorAlejandro Noriega
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:39:42Z
dc.date.available2026-03-22T15:39:42Z
dc.date.issued2025
dc.descriptionCitaciones: 1
dc.description.abstractAI outperformed first-year residents in key ophthalmic assessments. The synergistic use of AI and resident assessments showed potential for optimizing diagnostic accuracy, highlighting the value of AI as a supportive tool in ophthalmic practice, especially for early career clinicians.
dc.identifier.doi10.3389/fopht.2025.1581212
dc.identifier.urihttps://doi.org/10.3389/fopht.2025.1581212
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/53673
dc.language.isoen
dc.publisherFrontiers Media
dc.relation.ispartofFrontiers in Ophthalmology
dc.sourceEpidemic Intelligence Service
dc.subjectGlaucoma
dc.subjectMedicine
dc.subjectOphthalmology
dc.subjectRetinal
dc.subjectTertiary care
dc.subjectOptic disc
dc.subjectDiagnostic accuracy
dc.subjectArtificial intelligence
dc.subjectOptometry
dc.titleSynergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease
dc.typearticle

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