Neglect what is near. Commentary regarding the August 2021 editorial on the current state of Artificial Intelligence in Ophthalmology

González de la Rosa, M.

doi:10.1016/j.oftale.2021.09.002

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Commentary regarding the August 2021 editorial on the current state of Artificial Intelligence in Ophthalmology" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "417" "paginaFinal" => "418" ] ] "autores" => array:1 [ 0 => array:3 [ "autoresLista" => "M. González de la Rosa" "autores" => array:1 [ 0 => array:3 [ "nombre" => "M." "apellidos" => "González de la Rosa" "email" => array:1 [ 0 => "mgdelarosa1950@gmail.com" ] ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Universidad de La Laguna, Instrumentación y Oftalmología (INSOFT S.L.), Santa Cruz de Tenerife, Spain" "identificador" => "aff0005" ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El menosprecio de lo próximo. Comentario respecto al editorial de agosto de 2021 sobre el estado actual de la inteligencia artificial en Oftalmología" ] ] "textoCompleto" => "I was rather saddened by the editorial in the August issue of our journal entitled "Artificial intelligence and ophthalmology: current status ".<a class="elsevierStyleCrossRef" href="#bib0005">1</a> Signed by five colleagues from different parts of the country, it does not make a single reference to the work that has been carried out for many years in Spain.Our Society commissioned Dr José María Martínez de la Casa and Dr Javier Aritz Urcola for the round table at our 2019 Congress on "Big Data in Ophthalmology", which analysed in detail the applications of artificial intelligence in our speciality. All Spanish ophthalmologists have in their libraries the book that was published, in which we participated in some aspects of glaucoma.<a class="elsevierStyleCrossRef" href="#bib0010">2</a> The authors of the editorial completely ignored it, and the most surprising thing is that one of the signatories is the second author of the aforementioned book.I am not going to refer to other subspecialties of ophthalmology, where the same is most likely true. The only reference to glaucoma in the editorial is a paper by Li et al.<a class="elsevierStyleCrossRef" href="#bib0015">3</a> in which the reference diagnosis of glaucoma is not made on the basis of clinical evidence, but by "21 ophthalmologists trained to classify the photographs" (sic) and in which "the diagnosis of glaucoma is made by a vertical cup/disc ratio equal to or greater than 0.7 and other typical nerve changes" (sic). May anyone with a minimal knowledge of the subject be the judge.Nor would it be fair to claim for our group the merit of being pioneers in the case of glaucoma. I think it is important to point out that in 2008 the group from the San Carlos Clinic in Madrid published an interesting paper in this field.<a class="elsevierStyleCrossRef" href="#bib0020">4</a> We followed the path they had opened, applying it to our method of colourimetric analysis of the papilla, and in 2011 we made available to the scientific community an image database for working on the optic nerve in artificial intelligence.<a class="elsevierStyleCrossRef" href="#bib0025">5</a> This image database has been widely used by many researchers around the world. Among the indexed papers, if you type "RIM-ONE glaucoma" in PubMed, you will currently find 17 references, and it has been cited in more than 200 publications.In the fifth reference of this letter you will find a recent open access paper of ours, which aggregates our track record in this area, and in which you can consult not only our latest results but also a detailed technical description of the methods used to fully automate the analysis of retinographs, as well as access to the raw data of the presented clinical research.<a class="elsevierStyleCrossRef" href="#bib0030">6</a>I think it is fair to report here that, to date, we have carried out telemedicine analysis of 450,000 optical nerves, mainly in Central Europe and Scandinavia, but also in South Africa, Brazil and other countries, with the support of the Danish company RetinaLyze. I will refrain here from explaining the reasons why it has not been extended in Spain. However, I would just like to outline that it is not alien to situations such as those that give rise to this letter, and also to report that this summer we are analysing, in collaboration with the Canary Health Service, almost a million images of the almost 200,000 diabetics in our islands (9-10% of the population), who have been monitored periodically for 15 years by retinography, in order to try to identify glaucoma.In short, we would do well to support what is close to us, given that we can expect little from what is foreign. Especially because, as Machado said: "In matters of culture and knowledge, you only lose what you keep, you only gain what you give".Conflict of interestThe author has devoted most of his life to research the development of eye and vision examination procedures. He holds several patents and had and still has interests in their commercialisation.FundingThe author has worked occasionally with FEDER funds from the Carlos III Institute and the Canary Islands Government. Currently essentially with his own funds." "textoCompletoSecciones" => array:1 [ "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Conflict of interest" ] 1 => array:2 [ "identificador" => "sec0010" "titulo" => "Funding" ] 2 => array:2 [ "identificador" => "xack614964" "titulo" => "Acknowledgements" ] 3 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "Please cite this article as: González de la Rosa M. El menosprecio de lo próximo. Comentario respecto al editorial de agosto de 2021 sobre el estado actual de la inteligencia artificial en Oftalmología. Arch Soc Esp Oftalmol. 2022;97:417–418." ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:6 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Artificial intelligence and ophthalmology: current status" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "J. Zarranz-Ventura" 1 => "C. Bernal-Morales" 2 => "M.S. Viteri" 3 => "F.J.C. Alonso" 4 => "J.A. Urcola" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.oftal.2021.06.001" "Revista" => array:6 [ "tituloSerie" => "Arch Soc Esp Oftalmol" "fecha" => "2021" "volumen" => "96" "paginaInicial" => "399" "paginaFinal" => "400" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/34340776" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Big Data en Oftalmología. Mesa redonda 95 Congreso de la Sociedad Española de Oftalmología. Madrid" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "J.M. Martinez de la Casa" 1 => "J. Aritz Urcola" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:2 [ "fecha" => "2019" "editorial" => "Sociedad Española de Oftalmología" ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0015" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "Z. Li" 1 => "Y. He" 2 => "S. Keel" 3 => "W. Meng" 4 => "R.T. Chang" 5 => "M. He" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ophtha.2018.01.023" "Revista" => array:6 [ "tituloSerie" => "Ophthalmology" "fecha" => "2018" "volumen" => "125" "paginaInicial" => "1199" "paginaFinal" => "1206" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29506863" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0020" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Identification of the optic nerve head with genetic algorithms" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "E.J. Carmona" 1 => "M. Rincón" 2 => "J. García-Feijoo" 3 => "M. Martínez-de-la-Casa" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.artmed.2008.04.005" "Revista" => array:6 [ "tituloSerie" => "Artif Intell Med" "fecha" => "2008" "volumen" => "43" "paginaInicial" => "243" "paginaFinal" => "259" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18534830" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0025" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "RIM-ONE: An Open Retinal Image Database for Optic Nerve Evaluation" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "F. Fumero" 1 => "S. Alayon" 2 => "J.L. Sanchez" 3 => "J. Sigut" 4 => "M. Gonzalez-Hernandez" ] ] ] ] ] "host" => array:2 [ 0 => array:1 [ "Revista" => array:2 [ "tituloSerie" => "Proceedings of the IEEE Symposium on Computer-Based Medical Systems" "fecha" => "2011" ] ] 1 => array:1 [ "WWW" => array:1 [ "link" => "https://www.semanticscholar.org/paper/RIM-ONE%3A-An-open-retinal-image-database-for-optic-Fumero-Alay%C3%B3n/de0ba8f29739620b9d09c87fecfe6507e73d5c7d" ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0030" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Fully Automated Colorimetric Analysis of the Optic Nerve Aided by Deep Learning and Its Association with Perimetry and OCT for the Study of Glaucoma" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "M. Gonzalez-Hernandez" 1 => "D. Gonzalez-Hernandez" 2 => "D. Perez-Barbudo" 3 => "P. Rodriguez-Esteve" 4 => "N. Betancor-Caro" 5 => "M. Gonzalez de la Rosa" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3390/jcm10153231" "Revista" => array:5 [ "tituloSerie" => "J Clin Med" "fecha" => "2021" "volumen" => "10" "paginaInicial" => "3231" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/34362014" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:4 [ "identificador" => "xack614964" "titulo" => "Acknowledgements" "texto" => "To all those who have supported our projects. Outside the Canary Islands, especially the current and retired members of the Hospital Clínico San Carlos of Madrid." 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ISSN: 2173-5794
e-ISSN: 1989-7286

Archivos de la Sociedad Española de Oftalmología is the official journal of the Ophthalmology Society of Spain, that has over 4,000 members. It gives priority to the publication of basic, translational and clinic research including reviews, original articles, short communications, editorials, letters to the editor and clinic practice guides related to Ophthalmology and its subspecialties. A small section of the journal is reserved for the most relevant papers presented at the annual Congress of the Society. All manuscripts considered for publication are reviewed by expert examiner peers (double blind). The journal is published monthly and even though its official language is Spanish all articles are translated into English to increase the dissemination of scientific information. At present, Archivos is the only Spanish language Ophthalmology journal indexed in PubMed/MEDLINE in addition to other prestigious international databases such as Scopus.

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Vol. 97. Issue 7.