{"id":21132,"date":"2025-03-31T21:32:38","date_gmt":"2025-03-31T21:32:38","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=21132"},"modified":"2025-03-31T21:42:33","modified_gmt":"2025-03-31T21:42:33","slug":"canadian-neuroscientists-use-ai-to-transform-autism-diagnosis","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/canadian-neuroscientists-use-ai-to-transform-autism-diagnosis\/","title":{"rendered":"Canadian Neuroscientists Use AI to Transform Autism Diagnosis"},"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\">Canadian researchers propose a revolutionary approach using artificial intelligence to refine autism diagnosis criteria, potentially transforming the current diagnostic process and providing better support for the autistic community.<\/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>In a significant breakthrough, Canadian neuroscientists are advocating for a revolutionary approach to diagnosing autism, suggesting that the integration of artificial intelligence (AI) with clinical expertise could vastly improve diagnostic accuracy. Their study, <a href=\"https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(25)00213-2\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the journal Cell, comes as autism diagnoses are more prevalent than ever, affecting approximately 80 million people worldwide.<\/p>\n\n\n\n<p>For decades, diagnosing autism has relied heavily on observing a child\u2019s social communication and interaction deficits. However, researchers from Universit\u00e9 de Montr\u00e9al (UdeM) and McGill University assert that this focus may be misplaced and incomplete.<\/p>\n\n\n\n<p>\u201cA data-driven revision of autism criteria of the kind we\u2019re proposing, grounded on clinical certainty, would complement what has historically been done by expert panels and the judgment of humans, who can be wrong,\u201d co-senior author Laurent Mottron,  a clinician-researcher in psychiatry at UdeM, said in news release.<\/p>\n\n\n\n<p>The study was a collaborative endeavor involving scientists Danilo Bzdok, Jack Stanley, Siva Reddy and Eugene Belilovsky from Mila \u2013 Quebec Artificial Intelligence Institute, which is affiliated with UdeM and McGill. Bzdok and Stanley are also associated with The Neuro &#8211; Montreal Neurological Institute-Hospital, which is affiliated with McGill.<\/p>\n\n\n\n<p>Through analyzing over 4,200 observational clinical reports from children suspected of autism, the team employed large language modelling (LLM) technologies to predict diagnostic outcomes based on specific report contents.<\/p>\n\n\n\n<p>The results were a surprise. The team discovered that traditional socialization criteria, such as emotional reciprocity, nonverbal communication and relationship development, were not as specific to autism as previously believed. Instead, autism diagnosis was more accurately linked to repetitive behaviors, highly specific interests and perception-based behaviors.<\/p>\n\n\n\n<p>\u201cThis project marks the successful outcome of a fruitful partnership between McGill University and UdeM. We hope our results will make a meaningful contribution to advancing diagnosis and support for the autistic community,\u201d added co-first author Emmet Rabot, a clinical associate professor of psychiatry at UdeM.<\/p>\n\n\n\n<p>The implications of these findings are vast. Current diagnostic practices are heavily influenced by the DSM-5, the fifth edition of the American Psychiatric Association\u2019s Diagnostic and Statistical Manual of Mental Disorders. This manual is considered the gold standard but relies significantly on clinician judgment, which can vary widely.<\/p>\n\n\n\n<p>The researchers argue that medical practitioners should reconsider the established criteria and place greater emphasis on behaviors previously deemed secondary. With no definitive biomarkers for autism, refining the diagnostic criteria through AI could potentially reduce the diagnosis time, providing timely interventions that could greatly improve the quality of life for autistic individuals.<\/p>\n\n\n\n<p>\u201cIn the future, large language model technologies may prove instrumental in reconsidering what we call autism today,\u201d added co-senior author Bzdok.<\/p>\n\n\n\n<p>This study represents a critical step towards enhancing the accuracy and efficacy of autism diagnoses, potentially heralding a new era where AI and human expertise work hand-in-hand to better serve the autistic community.<\/p>\n\n\n\n<div style=\"height:19px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source:<\/strong> <a href=\"https:\/\/nouvelles.umontreal.ca\/en\/article\/2025\/03\/26\/using-llms-to-understand-how-autism-gets-diagnosed\/\" target=\"_blank\" rel=\"noopener\" title=\"\">University of Montreal<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a significant breakthrough, Canadian neuroscientists are advocating for a revolutionary approach to diagnosing autism, suggesting that the integration of artificial intelligence (AI) with clinical expertise could vastly improve diagnostic accuracy. Their study, published in the journal Cell, comes as autism diagnoses are more prevalent than ever, affecting approximately 80 million people worldwide. For decades, [&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],"tags":[65,198],"class_list":["post-21132","post","type-post","status-publish","format-standard","hentry","category-ai","tag-mcgill-university","tag-university-of-montreal"],"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":"In a significant breakthrough, Canadian neuroscientists are advocating for a revolutionary approach to diagnosing autism, suggesting that the integration of artificial intelligence (AI) with clinical expertise could vastly improve diagnostic accuracy. Their study, published in the journal Cell, comes as autism diagnoses are more prevalent than ever, affecting approximately 80 million people worldwide. For decades,&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/21132","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=21132"}],"version-history":[{"count":8,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/21132\/revisions"}],"predecessor-version":[{"id":21376,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/21132\/revisions\/21376"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=21132"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=21132"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=21132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}