Use of artificial intelligence in ophthalmology: a narrative review

Detalhes bibliográficos
Autor(a) principal: Martins,Thiago Gonçalves dos Santos
Data de Publicação: 2022
Outros Autores: Schor,Paulo, Mendes,Luís Guilherme Arneiro, Fowler,Susan, Silva,Rufino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: São Paulo medical journal (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802022000600837
Resumo: ABSTRACT BACKGROUND: Artificial intelligence (AI) deals with development of algorithms that seek to perceive one’s environment and perform actions that maximize one’s chance of successfully reaching one’s predetermined goals. OBJECTIVE: To provide an overview of the basic principles of AI and its main studies in the fields of glaucoma, retinopathy of prematurity, age-related macular degeneration and diabetic retinopathy. From this perspective, the limitations and potential challenges that have accompanied the implementation and development of this new technology within ophthalmology are presented. DESIGN AND SETTING: Narrative review developed by a research group at the Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil. METHODS: We searched the literature on the main applications of AI within ophthalmology, using the keywords “artificial intelligence”, “diabetic retinopathy”, “macular degeneration age-related”, “glaucoma” and “retinopathy of prematurity,” covering the period from January 1, 2007, to May 3, 2021. We used the MEDLINE database (via PubMed) and the LILACS database (via Virtual Health Library) to identify relevant articles. RESULTS: We retrieved 457 references, of which 47 were considered eligible for intensive review and critical analysis. CONCLUSION: Use of technology, as embodied in AI algorithms, is a way of providing an increasingly accurate service and enhancing scientific research. This forms a source of complement and innovation in relation to the daily skills of ophthalmologists. Thus, AI adds technology to human expertise.
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spelling Use of artificial intelligence in ophthalmology: a narrative reviewArtificial intelligenceGlaucomaRetinopathy of prematurityOphthalmologyNeural networkConvolutional neural networkDiabetesMacular degenerationDeep reinforcement learningABSTRACT BACKGROUND: Artificial intelligence (AI) deals with development of algorithms that seek to perceive one’s environment and perform actions that maximize one’s chance of successfully reaching one’s predetermined goals. OBJECTIVE: To provide an overview of the basic principles of AI and its main studies in the fields of glaucoma, retinopathy of prematurity, age-related macular degeneration and diabetic retinopathy. From this perspective, the limitations and potential challenges that have accompanied the implementation and development of this new technology within ophthalmology are presented. DESIGN AND SETTING: Narrative review developed by a research group at the Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil. METHODS: We searched the literature on the main applications of AI within ophthalmology, using the keywords “artificial intelligence”, “diabetic retinopathy”, “macular degeneration age-related”, “glaucoma” and “retinopathy of prematurity,” covering the period from January 1, 2007, to May 3, 2021. We used the MEDLINE database (via PubMed) and the LILACS database (via Virtual Health Library) to identify relevant articles. RESULTS: We retrieved 457 references, of which 47 were considered eligible for intensive review and critical analysis. CONCLUSION: Use of technology, as embodied in AI algorithms, is a way of providing an increasingly accurate service and enhancing scientific research. This forms a source of complement and innovation in relation to the daily skills of ophthalmologists. Thus, AI adds technology to human expertise.Associação Paulista de Medicina - APM2022-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802022000600837Sao Paulo Medical Journal v.140 n.6 2022reponame:São Paulo medical journal (Online)instname:Associação Paulista de Medicinainstacron:APM10.1590/1516-3180.2021.0713.r1.22022022info:eu-repo/semantics/openAccessMartins,Thiago Gonçalves dos SantosSchor,PauloMendes,Luís Guilherme ArneiroFowler,SusanSilva,Rufinoeng2022-10-27T00:00:00Zoai:scielo:S1516-31802022000600837Revistahttp://www.scielo.br/spmjhttps://old.scielo.br/oai/scielo-oai.phprevistas@apm.org.br1806-94601516-3180opendoar:2022-10-27T00:00São Paulo medical journal (Online) - Associação Paulista de Medicinafalse
dc.title.none.fl_str_mv Use of artificial intelligence in ophthalmology: a narrative review
title Use of artificial intelligence in ophthalmology: a narrative review
spellingShingle Use of artificial intelligence in ophthalmology: a narrative review
Martins,Thiago Gonçalves dos Santos
Artificial intelligence
Glaucoma
Retinopathy of prematurity
Ophthalmology
Neural network
Convolutional neural network
Diabetes
Macular degeneration
Deep reinforcement learning
title_short Use of artificial intelligence in ophthalmology: a narrative review
title_full Use of artificial intelligence in ophthalmology: a narrative review
title_fullStr Use of artificial intelligence in ophthalmology: a narrative review
title_full_unstemmed Use of artificial intelligence in ophthalmology: a narrative review
title_sort Use of artificial intelligence in ophthalmology: a narrative review
author Martins,Thiago Gonçalves dos Santos
author_facet Martins,Thiago Gonçalves dos Santos
Schor,Paulo
Mendes,Luís Guilherme Arneiro
Fowler,Susan
Silva,Rufino
author_role author
author2 Schor,Paulo
Mendes,Luís Guilherme Arneiro
Fowler,Susan
Silva,Rufino
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Martins,Thiago Gonçalves dos Santos
Schor,Paulo
Mendes,Luís Guilherme Arneiro
Fowler,Susan
Silva,Rufino
dc.subject.por.fl_str_mv Artificial intelligence
Glaucoma
Retinopathy of prematurity
Ophthalmology
Neural network
Convolutional neural network
Diabetes
Macular degeneration
Deep reinforcement learning
topic Artificial intelligence
Glaucoma
Retinopathy of prematurity
Ophthalmology
Neural network
Convolutional neural network
Diabetes
Macular degeneration
Deep reinforcement learning
description ABSTRACT BACKGROUND: Artificial intelligence (AI) deals with development of algorithms that seek to perceive one’s environment and perform actions that maximize one’s chance of successfully reaching one’s predetermined goals. OBJECTIVE: To provide an overview of the basic principles of AI and its main studies in the fields of glaucoma, retinopathy of prematurity, age-related macular degeneration and diabetic retinopathy. From this perspective, the limitations and potential challenges that have accompanied the implementation and development of this new technology within ophthalmology are presented. DESIGN AND SETTING: Narrative review developed by a research group at the Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil. METHODS: We searched the literature on the main applications of AI within ophthalmology, using the keywords “artificial intelligence”, “diabetic retinopathy”, “macular degeneration age-related”, “glaucoma” and “retinopathy of prematurity,” covering the period from January 1, 2007, to May 3, 2021. We used the MEDLINE database (via PubMed) and the LILACS database (via Virtual Health Library) to identify relevant articles. RESULTS: We retrieved 457 references, of which 47 were considered eligible for intensive review and critical analysis. CONCLUSION: Use of technology, as embodied in AI algorithms, is a way of providing an increasingly accurate service and enhancing scientific research. This forms a source of complement and innovation in relation to the daily skills of ophthalmologists. Thus, AI adds technology to human expertise.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802022000600837
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1516-3180.2021.0713.r1.22022022
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Paulista de Medicina - APM
publisher.none.fl_str_mv Associação Paulista de Medicina - APM
dc.source.none.fl_str_mv Sao Paulo Medical Journal v.140 n.6 2022
reponame:São Paulo medical journal (Online)
instname:Associação Paulista de Medicina
instacron:APM
instname_str Associação Paulista de Medicina
instacron_str APM
institution APM
reponame_str São Paulo medical journal (Online)
collection São Paulo medical journal (Online)
repository.name.fl_str_mv São Paulo medical journal (Online) - Associação Paulista de Medicina
repository.mail.fl_str_mv revistas@apm.org.br
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