{"id":50776,"date":"2026-06-26T17:13:56","date_gmt":"2026-06-26T20:13:56","guid":{"rendered":"https:\/\/phelcom.com\/?post_type=paper&#038;p=50776"},"modified":"2026-06-29T11:30:19","modified_gmt":"2026-06-29T14:30:19","slug":"from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil","status":"publish","type":"paper","link":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/","title":{"rendered":"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil"},"featured_media":50124,"template":"","class_list":["post-50776","paper","type-paper","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil - PHELCOM Technologies<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil - PHELCOM Technologies\" \/>\n<meta property=\"og:url\" content=\"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/\" \/>\n<meta property=\"og:site_name\" content=\"PHELCOM Technologies\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/phelcom\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-29T14:30:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/phelcom.com\/wp-content\/uploads\/2025\/11\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png\" \/>\n\t<meta property=\"og:image:width\" content=\"592\" \/>\n\t<meta property=\"og:image:height\" content=\"837\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/\",\"url\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/\",\"name\":\"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil - PHELCOM Technologies\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/phelcom.com\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png\",\"datePublished\":\"2026-06-26T20:13:56+00:00\",\"dateModified\":\"2026-06-29T14:30:19+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/#primaryimage\",\"url\":\"https:\\\/\\\/phelcom.com\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png\",\"contentUrl\":\"https:\\\/\\\/phelcom.com\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png\",\"width\":592,\"height\":837},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/paper\\\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"In\u00edcio\",\"item\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/\",\"name\":\"PHELCOM Technologies\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/#organization\",\"name\":\"Phelcom\",\"url\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/phelcom.com\\\/wp-content\\\/uploads\\\/2018\\\/07\\\/color_horizontal.png\",\"contentUrl\":\"https:\\\/\\\/phelcom.com\\\/wp-content\\\/uploads\\\/2018\\\/07\\\/color_horizontal.png\",\"width\":245,\"height\":40,\"caption\":\"Phelcom\"},\"image\":{\"@id\":\"https:\\\/\\\/phelcom.com\\\/pt-br\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/phelcom\\\/\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/phelcom-technologies\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCSZCLEV9ZrbGBie0R0IxQpA\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil - PHELCOM Technologies","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/","og_locale":"pt_BR","og_type":"article","og_title":"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil - PHELCOM Technologies","og_url":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/","og_site_name":"PHELCOM Technologies","article_publisher":"https:\/\/www.facebook.com\/phelcom\/","article_modified_time":"2026-06-29T14:30:19+00:00","og_image":[{"width":592,"height":837,"url":"https:\/\/phelcom.com\/wp-content\/uploads\/2025\/11\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. tempo de leitura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/","url":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/","name":"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil - PHELCOM Technologies","isPartOf":{"@id":"https:\/\/phelcom.com\/pt-br\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/#primaryimage"},"image":{"@id":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/#primaryimage"},"thumbnailUrl":"https:\/\/phelcom.com\/wp-content\/uploads\/2025\/11\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png","datePublished":"2026-06-26T20:13:56+00:00","dateModified":"2026-06-29T14:30:19+00:00","breadcrumb":{"@id":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/"]}]},{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/#primaryimage","url":"https:\/\/phelcom.com\/wp-content\/uploads\/2025\/11\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png","contentUrl":"https:\/\/phelcom.com\/wp-content\/uploads\/2025\/11\/From-Machine-to-the-Real-World-Assessing-the-Accuracy-of-a-Machine-to-Machine-M2M-Deep-Learning-Model-to-Detect-Glaucoma-during-a-Population-Based-Screening-Effort-in-Brazil.png","width":592,"height":837},{"@type":"BreadcrumbList","@id":"https:\/\/phelcom.com\/pt-br\/paper\/from-machine-to-the-real-world-assessing-the-accuracy-of-a-machine-to-machine-m2m-deep-learning-model-to-detect-glaucoma-during-a-population-based-screening-effort-in-brazil\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"In\u00edcio","item":"https:\/\/phelcom.com\/pt-br\/"},{"@type":"ListItem","position":2,"name":"From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil"}]},{"@type":"WebSite","@id":"https:\/\/phelcom.com\/pt-br\/en\/#website","url":"https:\/\/phelcom.com\/pt-br\/en\/","name":"PHELCOM Technologies","description":"","publisher":{"@id":"https:\/\/phelcom.com\/pt-br\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/phelcom.com\/pt-br\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/phelcom.com\/pt-br\/en\/#organization","name":"Phelcom","url":"https:\/\/phelcom.com\/pt-br\/en\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/phelcom.com\/pt-br\/en\/#\/schema\/logo\/image\/","url":"https:\/\/phelcom.com\/wp-content\/uploads\/2018\/07\/color_horizontal.png","contentUrl":"https:\/\/phelcom.com\/wp-content\/uploads\/2018\/07\/color_horizontal.png","width":245,"height":40,"caption":"Phelcom"},"image":{"@id":"https:\/\/phelcom.com\/pt-br\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/phelcom\/","https:\/\/www.linkedin.com\/company\/phelcom-technologies","https:\/\/www.youtube.com\/channel\/UCSZCLEV9ZrbGBie0R0IxQpA"]}]}},"_links":{"self":[{"href":"https:\/\/phelcom.com\/pt-br\/wp-json\/wp\/v2\/paper\/50776","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/phelcom.com\/pt-br\/wp-json\/wp\/v2\/paper"}],"about":[{"href":"https:\/\/phelcom.com\/pt-br\/wp-json\/wp\/v2\/types\/paper"}],"version-history":[{"count":1,"href":"https:\/\/phelcom.com\/pt-br\/wp-json\/wp\/v2\/paper\/50776\/revisions"}],"predecessor-version":[{"id":50784,"href":"https:\/\/phelcom.com\/pt-br\/wp-json\/wp\/v2\/paper\/50776\/revisions\/50784"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/phelcom.com\/pt-br\/wp-json\/wp\/v2\/media\/50124"}],"wp:attachment":[{"href":"https:\/\/phelcom.com\/pt-br\/wp-json\/wp\/v2\/media?parent=50776"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}