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Each image was graded for\n                      <jats:styled-content style=\"fixed-case\">DR<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">AMD<\/jats:styled-content>\n                      by an experienced ophthalmologist to establish the reference standard (\n                      <jats:styled-content style=\"fixed-case\">RS<\/jats:styled-content>\n                      ), and by four independent observers for comparison with human performance. Validation was furtherly assessed on Messidor (1200 images) for individual identification of referable\n                      <jats:styled-content style=\"fixed-case\">DR<\/jats:styled-content>\n                      , and the Age\u2010Related Eye Disease Study (\n                      <jats:styled-content style=\"fixed-case\">AREDS<\/jats:styled-content>\n                      ) dataset (133\u00a0821 images) for referable\n                      <jats:styled-content style=\"fixed-case\">AMD<\/jats:styled-content>\n                      , against the corresponding\n                      <jats:styled-content style=\"fixed-case\">RS<\/jats:styled-content>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Regarding joint validation on the\n                      <jats:styled-content style=\"fixed-case\">DR<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">AMD<\/jats:styled-content>\n                      dataset, the system achieved an area under the\n                      <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\n                      curve (\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      ) of 95.1% for detection of referable\n                      <jats:styled-content style=\"fixed-case\">DR<\/jats:styled-content>\n                      (\n                      <jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>\n                      \u00a0=\u00a090.1%,\n                      <jats:styled-content style=\"fixed-case\">SP<\/jats:styled-content>\n                      \u00a0=\u00a090.6%). For referable\n                      <jats:styled-content style=\"fixed-case\">AMD<\/jats:styled-content>\n                      , the\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      was 94.9% (\n                      <jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>\n                      \u00a0=\u00a091.8%,\n                      <jats:styled-content style=\"fixed-case\">SP<\/jats:styled-content>\n                      \u00a0=\u00a087.5%). Average human performance for\n                      <jats:styled-content style=\"fixed-case\">DR<\/jats:styled-content>\n                      was\n                      <jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>\n                      \u00a0=\u00a061.5% and\n                      <jats:styled-content style=\"fixed-case\">SP<\/jats:styled-content>\n                      \u00a0=\u00a097.8%; for\n                      <jats:styled-content style=\"fixed-case\">AMD<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>\n                      \u00a0=\u00a076.5% and\n                      <jats:styled-content style=\"fixed-case\">SP<\/jats:styled-content>\n                      \u00a0=\u00a096.1%. Regarding detection of referable\n                      <jats:styled-content style=\"fixed-case\">DR<\/jats:styled-content>\n                      in Messidor,\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      was 97.5% (\n                      <jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>\n                      \u00a0=\u00a092.0%,\n                      <jats:styled-content style=\"fixed-case\">SP<\/jats:styled-content>\n                      \u00a0=\u00a092.1%); for referable\n                      <jats:styled-content style=\"fixed-case\">AMD<\/jats:styled-content>\n                      in\n                      <jats:styled-content style=\"fixed-case\">AREDS<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      was 92.7% (\n                      <jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>\n                      \u00a0=\u00a085.8%,\n                      <jats:styled-content style=\"fixed-case\">SP<\/jats:styled-content>\n                      \u00a0=\u00a086.0%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      The validated system performs comparably to human experts at simultaneous detection of\n                      <jats:styled-content style=\"fixed-case\">DR<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">AMD<\/jats:styled-content>\n                      . This shows that\n                      <jats:styled-content style=\"fixed-case\">DL<\/jats:styled-content>\n                      systems can facilitate access to joint screening of eye diseases and become a quick and reliable support for ophthalmological experts.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/aos.14306","type":"journal-article","created":{"date-parts":[[2019,11,27]],"date-time":"2019-11-27T00:21:20Z","timestamp":1574814080000},"page":"368-377","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":104,"title":["Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age\u2010related macular degeneration"],"prefix":"10.1111","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8413-3297","authenticated-orcid":false,"given":"Cristina","family":"Gonz\u00e1lez\u2010Gonzalo","sequence":"first","affiliation":[{"name":"A\u2010eye Research Group Radboud University Medical Center Nijmegen The Netherlands"},{"name":"Diagnostic Image Analysis Group Radboud University Medical Center Nijmegen The Netherlands"},{"name":"Donders Institute for Brain Cognition and Behaviour Radboud University Medical Center Nijmegen The Netherlands"},{"name":"Department of Ophthalmology Radboud University Medical Center Nijmegen The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ver\u00f3nica","family":"S\u00e1nchez\u2010Guti\u00e9rrez","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology University Hospital Ram\u00f3n y Cajal Ram\u00f3n y Cajal Health Research Institute (IRYCIS) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paula","family":"Hern\u00e1ndez\u2010Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology University Hospital Ram\u00f3n y Cajal Ram\u00f3n y Cajal Health Research Institute (IRYCIS) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3524-9335","authenticated-orcid":false,"given":"In\u00e9s","family":"Contreras","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology University Hospital Ram\u00f3n y Cajal Ram\u00f3n y Cajal Health Research Institute (IRYCIS) Madrid Spain"},{"name":"Cl\u00ednica Rementer\u00eda Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yara T.","family":"Lechanteur","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology Radboud University Medical Center Nijmegen The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Artin","family":"Domanian","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology Radboud University Medical Center Nijmegen The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bram","family":"van Ginneken","sequence":"additional","affiliation":[{"name":"Diagnostic Image Analysis Group Radboud University Medical Center Nijmegen The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clara I.","family":"S\u00e1nchez","sequence":"additional","affiliation":[{"name":"A\u2010eye Research Group Radboud University Medical Center Nijmegen The Netherlands"},{"name":"Diagnostic Image Analysis Group Radboud University Medical Center Nijmegen The Netherlands"},{"name":"Donders Institute for Brain Cognition and Behaviour Radboud University Medical Center Nijmegen The Netherlands"},{"name":"Department of Ophthalmology Radboud University Medical Center Nijmegen The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,11,26]]},"reference":[{"key":"e_1_2_5_2_1","unstructured":"AAO(2015):PPP Retina\/Vitreous Panel Hoskins Center for Quality Eye Care. 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