{"id":27275,"date":"2025-07-15T18:53:11","date_gmt":"2025-07-15T18:53:11","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=27275"},"modified":"2025-07-15T19:18:28","modified_gmt":"2025-07-15T19:18:28","slug":"ai-enhances-eye-disease-prediction-new-study","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/ai-enhances-eye-disease-prediction-new-study\/","title":{"rendered":"AI Enhances Eye Disease Prediction: New Study"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Researchers from the University of Edinburgh have unveiled an AI-driven breakthrough in predicting retinal detachment risks, offering a nuanced approach that goes beyond traditional glasses prescriptions.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>A groundbreaking combination of routine eye scans and artificial intelligence (AI) has paved the way for a novel and far more precise method of assessing short-sightedness, promising to revolutionize the prevention of severe retinal damage.<\/p>\n\n\n\n<p>In a recent study, researchers from the University of Edinburgh demonstrated how this new technique, driven by AI, could better predict the long-term risk of retinal detachment or tears by considering subtle changes in the retina that are often overlooked by conventional glasses prescriptions.<\/p>\n\n\n\n<p>By analyzing health data and retinal images of over 9,300 participants from the UK Biobank, the researchers developed a new measure known as the Fundus Refraction Offset (FRO). The FRO score evaluates the structural appearance of an individual\u2019s retina relative to what conventional prescriptions suggest it should look like.<\/p>\n\n\n\n<p>The findings, <a href=\"https:\/\/iovs.arvojournals.org\/article.aspx?articleid=2803194\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the journal Investigative Ophthalmology &amp; Visual Science, reveal that individuals whose retinas appeared more short-sighted than expected &#8212; based on their prescription &#8212; faced a significantly increased risk of retinal complications, even with similar baseline prescriptions, ages and other factors.<\/p>\n\n\n\n<p>&#8220;Our study supports moving beyond glasses prescription alone and taking into account retinal information when describing myopia severity,&#8221; principal investigator Fabian Yii, from the Robert O Curle Ophthalmology Suite in the Institute of Regeneration and Repair at the University of Edinburgh, said in a news release. &#8220;Given the limitations of current descriptors of myopia severity, most notably glasses prescription, in effectively capturing an individual\u2019s risks of myopic complications, this research represents an important step in allowing care to be targeted more effectively for the increasing number of people affected by myopia.&#8221;<\/p>\n\n\n\n<p>The implications of this groundbreaking study are substantial. <\/p>\n\n\n\n<p>With over 1 billion people worldwide affected by short-sightedness &#8212; a number projected to rise to nearly 50% of the global population by 2050 &#8212; the potential for reducing vision loss through tailored management is significant. <\/p>\n\n\n\n<p>Currently, individuals with severe short-sighted prescriptions are 13 times more likely to suffer from retinal detachment compared to those without myopia, although the risks can greatly vary even among people with similar prescriptions.<\/p>\n\n\n\n<p>The FRO score\u2019s predictive power can also be instrumental in guiding decisions surrounding elective procedures like laser eye surgery and clear lens exchange, which might pose a heightened risk to certain patients based on their retinal vulnerabilities, irrespective of their prescription strength.<\/p>\n\n\n\n<div style=\"height:13px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source:<\/strong> <a href=\"https:\/\/www.ed.ac.uk\/news\/ai-boosts-eye-disease-prediction\" target=\"_blank\" rel=\"noopener\" title=\"\">University of Edinburgh<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A groundbreaking combination of routine eye scans and artificial intelligence (AI) has paved the way for a novel and far more precise method of assessing short-sightedness, promising to revolutionize the prevention of severe retinal damage. In a recent study, researchers from the University of Edinburgh demonstrated how this new technique, driven by AI, could better [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8,12],"tags":[319],"class_list":["post-27275","post","type-post","status-publish","format-standard","hentry","category-ai","category-health","tag-university-of-edinburgh"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"A groundbreaking combination of routine eye scans and artificial intelligence (AI) has paved the way for a novel and far more precise method of assessing short-sightedness, promising to revolutionize the prevention of severe retinal damage. In a recent study, researchers from the University of Edinburgh demonstrated how this new technique, driven by AI, could better&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/27275","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=27275"}],"version-history":[{"count":5,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/27275\/revisions"}],"predecessor-version":[{"id":27298,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/27275\/revisions\/27298"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=27275"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=27275"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=27275"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}