{"id":239,"date":"2021-06-23T03:14:31","date_gmt":"2021-06-23T03:14:31","guid":{"rendered":"https:\/\/tokueyes.wpengine.com\/?p=239"},"modified":"2024-12-19T15:43:30","modified_gmt":"2024-12-19T02:43:30","slug":"a-multi-center-prospective-evaluation-of-theia","status":"publish","type":"post","link":"https:\/\/tokueyes.com\/uk\/a-multi-center-prospective-evaluation-of-theia\/","title":{"rendered":"A multi-center prospective evaluation of THEIA"},"content":{"rendered":"<h4 class=\"grve-title grve-with-line grve-text-light grve-animate-fade-in-up\">A multi-center prospective evaluation of THEIA to detect diabetic retinopathy (DR) and diabetic macular edema (DME) in the New Zealand screening program<\/h4>\n<p><strong>Purpose:<\/strong> to assess the efficacy of THEIA, an artificial intelligence for screening diabetic retinopathy in a multi-center prospective study. To validate the potential application of THEIA as clinical decision making assistant in a national screening program.<\/p>\n<p><strong>Methods:<\/strong> 902 patients were recruited from either an urban large eye hospital, or a semi-rural optometrist led screening provider, as they were attending their appointment as part of New Zealand Diabetic Screening programme.<\/p>\n<p>These clinics used a variety of retinal cameras and a range of operators. The de-identified images were then graded independently by three senior retinal specialists, and final results were aggregated using New Zealand grading scheme, which is then converted to referable\\non-referable and Healthy\\mild\\more than mild\\vision threatening categories. Results: compared to ground truth, THEIA achieved 100% sensitivity and [95.35%-97.44%] specificity, and negative predictive value of 100%. THEIA also did not miss any patients with more than mild or vision threatening disease. The level of agreement between the clinicians and the aggregated results was (k value: 0.9881, 0.9557, and 0.9175), and the level of agreement between THEIA and the aggregated labels was (k value: 0.9515).<\/p>\n<p><strong>Conclusion:<\/strong> Our multi-centre prospective trial showed that THEIA does not miss referable disease when screening for diabetic retinopathy and maculopathy. It also has a very high level of granularity in reporting the disease level. Since THEIA is being tested on a variety of cameras, operating in a range of clinics (rural\\urban, ophthalmologist-led\\optometrist-led), we believe that it will be a suitable addition to a public diabetic screening program.<\/p>\n<p><em>Ehsan Vaghefi, Song Yang, Li Xie, David Han, David Squirrell<\/em><\/p>\n<p><em><strong>Download Paper from Cornell University <span style=\"color: #f0964f;\"><a style=\"color: #f0964f;\" href=\"https:\/\/arxiv.org\/abs\/2106.12979\" target=\"_blank\" rel=\"noopener\">here<\/a><\/span><\/strong><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A multi-center prospective evaluation of THEIA to detect diabetic retinopathy (DR) and diabetic macular edema (DME) in the New Zealand screening program Purpose: to assess the efficacy of THEIA, an&#8230;<\/p>\n","protected":false},"author":2,"featured_media":150,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[18,21,22],"tags":[],"class_list":{"0":"post-239","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai-technology","8":"category-business-news","9":"category-diabetic-screening"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - 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