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Artificial Intelligence in refractive errors

2025-07Capítulo de livro Acesso embargado
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datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorLança, Carla
dc.contributor.authorEmamian, Mohammad Hassan
dc.contributor.authorGrzybowski, Andrzej
dc.contributor.editorGrzybowski, Andrzej
dc.date.accessioned2025-12-17T13:26:44Z
dc.date.available2025-12-17T13:26:44Z
dc.date.issued2025-07
dc.description.abstractUncorrected refractive errors (URE) are a leading cause of visual impairment (VI) and blindness. Big data acquisition and computer technology analysis are expanding quickly. By combining traditional techniques with artificial intelligence (AI) based tools, several studies have shown great potential in the detection, prediction, and risk stratification of URE, especially myopia. Continued improvement of imaging techniques and methods to measure refraction, coupled with the application of new AI algorithms, may be the future of clinical practice and standard of care for the diagnosis and prognosis of refractive errors. This chapter reviews how AI can be applied to the field of URE and discusses challenges to implementation into clinical practice and future directions.eng
dc.identifier.citationLança C, Emamian MH, Grzybowski A. Artificial Intelligence in refractive errors. In: Grzybowski A, editor. Artificial Intelligence in ophthalmology. Cham: Springer; 2025. p. 349-72.
dc.identifier.doi10.1007/978-3-031-83756-2_25
dc.identifier.isbn9783031837555
dc.identifier.isbn9783031837562
dc.identifier.urihttp://hdl.handle.net/10400.21/22348
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature Switzerland
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-031-83756-2_25
dc.relation.ispartofArtificial Intelligence in Ophthalmology
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectOphthalmology
dc.subjectArtificial Intelligence
dc.subjectUncorrected refractive errors
dc.subjectVisual impairment
dc.subjectMyopia detection
dc.subjectMyopia prediction
dc.subjectAI-based risk stratification
dc.subjectAI algorithms in eye care
dc.titleArtificial Intelligence in refractive errorseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage372
oaire.citation.startPage349
oaire.citation.titleArtificial Intelligence in ophthalmology
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLança
person.givenNameCarla
person.identifier.ciencia-id601A-6412-BF2F
person.identifier.orcid0000-0001-9918-787X
relation.isAuthorOfPublication0320b455-ee19-4670-8bf2-10dce9de1bec
relation.isAuthorOfPublication.latestForDiscovery0320b455-ee19-4670-8bf2-10dce9de1bec

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