Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context

Diabetic retinopathy; Retinography; Screening

Detalles Bibliográficos
Autores: Font, Octavi, Torrents‑Barrena, Jordina, Royo, Dídac, Bures, Anniken, Salinas, Cecilia, Zapata Victori, Miguel Angel, Banderas García, Sandra, Zarranz-Ventura, Javier
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:11351/8408
Acceso en línea:https://hdl.handle.net/11351/8408
http://hdl.handle.net/11351/8408
Access Level:acceso abierto
Palabra clave:Retina - Malalties - Diagnòstic
Intel·ligència artificial
INFORMATION SCIENCE::Information Science::Computing Methodologies::Algorithms::Artificial Intelligence
DISEASES::Eye Diseases::Retinal Diseases
Other subheadings::Other subheadings::/diagnosis
CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::algoritmos::inteligencia artificial
ENFERMEDADES::oftalmopatías::enfermedades de la retina
Otros calificadores::Otros calificadores::/diagnóstico
id ES_ee0f7b7795ce2c2fcda98dbc58d43ead
oai_identifier_str oai:recercat.cat:11351/8408
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
title Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
spellingShingle Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
Font, Octavi
Retina - Malalties - Diagnòstic
Intel·ligència artificial
INFORMATION SCIENCE::Information Science::Computing Methodologies::Algorithms::Artificial Intelligence
DISEASES::Eye Diseases::Retinal Diseases
Other subheadings::Other subheadings::/diagnosis
CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::algoritmos::inteligencia artificial
ENFERMEDADES::oftalmopatías::enfermedades de la retina
Otros calificadores::Otros calificadores::/diagnóstico
title_short Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
title_full Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
title_fullStr Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
title_full_unstemmed Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
title_sort Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
dc.creator.none.fl_str_mv Font, Octavi
Torrents‑Barrena, Jordina
Royo, Dídac
Bures, Anniken
Salinas, Cecilia
Zapata Victori, Miguel Angel
Banderas García, Sandra
Zarranz-Ventura, Javier
author Font, Octavi
author_facet Font, Octavi
Torrents‑Barrena, Jordina
Royo, Dídac
Bures, Anniken
Salinas, Cecilia
Zapata Victori, Miguel Angel
Banderas García, Sandra
Zarranz-Ventura, Javier
author_role author
author2 Torrents‑Barrena, Jordina
Royo, Dídac
Bures, Anniken
Salinas, Cecilia
Zapata Victori, Miguel Angel
Banderas García, Sandra
Zarranz-Ventura, Javier
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Institut Català de la Salut
[Font O, Royo D] Optretina Image Reading Team, Barcelona, Spain. [Torrents-Barrena J] BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain. [Banderas García S] Facultat de Cirurgia i Ciències Morfològiques, Universitat Autònoma de Barcelona, Bellaterra, Spain. Servei d’Oftalmologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Zarranz-Ventura J] Institut Clinic of Ophthalmology (ICOF), Hospital Clinic, Barcelona, Spain. Institut d’Investigacions Biomediques August Pi I Sunyer (IDIBAPS), Barcelona, Spain. [Bures A, Salinas C] Optretina Image Reading Team, Barcelona, Spain. Instituto de Microcirugía Ocular (IMO), Barcelona, Spain. [Zapata MA] Optretina Image Reading Team, Barcelona, Spain. Servei d’Oftalmologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain
Vall d'Hebron Barcelona Hospital Campus
dc.subject.none.fl_str_mv Retina - Malalties - Diagnòstic
Intel·ligència artificial
INFORMATION SCIENCE::Information Science::Computing Methodologies::Algorithms::Artificial Intelligence
DISEASES::Eye Diseases::Retinal Diseases
Other subheadings::Other subheadings::/diagnosis
CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::algoritmos::inteligencia artificial
ENFERMEDADES::oftalmopatías::enfermedades de la retina
Otros calificadores::Otros calificadores::/diagnóstico
topic Retina - Malalties - Diagnòstic
Intel·ligència artificial
INFORMATION SCIENCE::Information Science::Computing Methodologies::Algorithms::Artificial Intelligence
DISEASES::Eye Diseases::Retinal Diseases
Other subheadings::Other subheadings::/diagnosis
CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::algoritmos::inteligencia artificial
ENFERMEDADES::oftalmopatías::enfermedades de la retina
Otros calificadores::Otros calificadores::/diagnóstico
description Diabetic retinopathy; Retinography; Screening
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11351/8408
http://hdl.handle.net/11351/8408
url https://hdl.handle.net/11351/8408
http://hdl.handle.net/11351/8408
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Graefe's Archive for Clinical and Experimental Ophthalmology;260
https://doi.org/10.1007/s00417-022-05653-2
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Scientia
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869423585451311104
spelling Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup contextFont, OctaviTorrents‑Barrena, JordinaRoyo, DídacBures, AnnikenSalinas, CeciliaZapata Victori, Miguel AngelBanderas García, SandraZarranz-Ventura, JavierRetina - Malalties - DiagnòsticIntel·ligència artificialINFORMATION SCIENCE::Information Science::Computing Methodologies::Algorithms::Artificial IntelligenceDISEASES::Eye Diseases::Retinal DiseasesOther subheadings::Other subheadings::/diagnosisCIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::algoritmos::inteligencia artificialENFERMEDADES::oftalmopatías::enfermedades de la retinaOtros calificadores::Otros calificadores::/diagnósticoDiabetic retinopathy; Retinography; ScreeningRetinopatía diabética; Retinografía; CribadoRetinopatia diabètica; Retinografia; CribatgePurpose This study aims to evaluate the ability of an autonomous artificial intelligence (AI) system for detection of the most common central retinal pathologies in fundus photography. Methods Retrospective diagnostic test evaluation on a raw dataset of 5918 images (2839 individuals) evaluated with non-mydriatic cameras during routine occupational health checkups. Three camera models were employed: Optomed Aurora (field of view — FOV 50º, 88% of the dataset), ZEISS VISUSCOUT 100 (FOV 40º, 9%), and Optomed SmartScope M5 (FOV 40º, 3%). Image acquisition took 2 min per patient. Ground truth for each image of the dataset was determined by 2 masked retina specialists, and disagreements were resolved by a 3rd retina specialist. The specific pathologies considered for evaluation were “diabetic retinopathy” (DR), “Age-related macular degeneration” (AMD), “glaucomatous optic neuropathy” (GON), and “Nevus.” Images with maculopathy signs that did not match the described taxonomy were classified as “Other.” Results The combination of algorithms to detect any abnormalities had an area under the curve (AUC) of 0.963 with a sensitivity of 92.9% and a specificity of 86.8%. The algorithms individually obtained are as follows: AMD AUC 0.980 (sensitivity 93.8%; specificity 95.7%), DR AUC 0.950 (sensitivity 81.1%; specificity 94.8%), GON AUC 0.889 (sensitivity 53.6% specificity 95.7%), Nevus AUC 0.931 (sensitivity 86.7%; specificity 90.7%). Conclusion Our holistic AI approach reaches high diagnostic accuracy at simultaneous detection of DR, AMD, and Nevus. The integration of pathology-specific algorithms permits higher sensitivities with minimal impact on its specificity. It also reduces the risk of missing incidental findings. Deep learning may facilitate wider screenings of eye diseases.Open Access Funding provided by Universitat Autonoma de Barcelona.SpringerInstitut Català de la Salut[Font O, Royo D] Optretina Image Reading Team, Barcelona, Spain. [Torrents-Barrena J] BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain. [Banderas García S] Facultat de Cirurgia i Ciències Morfològiques, Universitat Autònoma de Barcelona, Bellaterra, Spain. Servei d’Oftalmologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Zarranz-Ventura J] Institut Clinic of Ophthalmology (ICOF), Hospital Clinic, Barcelona, Spain. Institut d’Investigacions Biomediques August Pi I Sunyer (IDIBAPS), Barcelona, Spain. [Bures A, Salinas C] Optretina Image Reading Team, Barcelona, Spain. Instituto de Microcirugía Ocular (IMO), Barcelona, Spain. [Zapata MA] Optretina Image Reading Team, Barcelona, Spain. Servei d’Oftalmologia, Vall d’Hebron Hospital Universitari, Barcelona, SpainVall d'Hebron Barcelona Hospital Campus202220222022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/11351/8408http://hdl.handle.net/11351/8408Scientiareponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésGraefe's Archive for Clinical and Experimental Ophthalmology;260https://doi.org/10.1007/s00417-022-05653-2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:11351/84082026-05-29T05:05:01Z
score 15.812429

Similares en LA Referencia