{"id":3679,"date":"2024-08-19T16:35:57","date_gmt":"2024-08-19T16:35:57","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=3679"},"modified":"2024-10-16T21:23:46","modified_gmt":"2024-10-16T21:23:46","slug":"ai-breakthrough-promises-early-autism-detection-with-80-accuracy","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/ai-breakthrough-promises-early-autism-detection-with-80-accuracy\/","title":{"rendered":"AI Breakthrough Promises Early Autism Detection With 80% Accuracy"},"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\">In a groundbreaking study published in JAMA Network Open, researchers at Karolinska Institutet unveiled an AI model capable of predicting autism in young children with nearly 80% accuracy, promising significant advancements in early diagnosis and intervention.<\/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>Researchers at Sweden&#8217;s Karolinska Institutet have developed a cutting-edge machine learning model that can accurately predict autism in young children, marking a significant stride in early childhood health care. This groundbreaking study, <a href=\"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2822394\" title=\"\">published<\/a> in JAMA Network Open, unveils a promising tool for health care professionals that could revolutionize the early detection and treatment of autism spectrum disorders (ASD).<\/p>\n\n\n\n<p>\u201cWith an accuracy of almost 80% for children under the age of two, we hope that this will be a valuable tool for health care,\u201d Kristiina Tammimies, associate professor at the Department of Women&#8217;s and Children&#8217;s Health at Karolinska Institutet and the study\u2019s last author, said in a <a href=\"http:\/\/With an accuracy of almost 80 percent for children under the age of two, we hope that this will be a valuable tool for healthcare,\u201d says Kristiina Tammimies, Associate Professor at KIND, the Department of Women's and Children's Health, Karolinska Institutet and last author of the study.\" title=\"\">news release<\/a>.<\/p>\n\n\n\n<p>The research team leveraged the extensive SPARK database from the United States, containing data on approximately 30,000 individuals with and without autism spectrum disorders. <\/p>\n\n\n\n<p>By meticulously analyzing a combination of 28 different parameters accessible before the age of two, the team developed four distinct machine-learning models. The standout model, termed &#8220;AutMedAI,&#8221; demonstrated remarkable efficacy.<\/p>\n\n\n\n<p>\u201cAmong about 12,000 individuals, the AutMedAI model was able to identify about 80% of children with autism,\u201d Shyam Rajagopalan, the study&#8217;s first author and an affiliated researcher at Karolinska Institutet, said in the news release.<\/p>\n\n\n\n<p>This model identified key predictors of autism, such as the age of first smile, the first short sentence and the presence of eating difficulties, based on simple, readily available information rather than exhaustive medical tests. <\/p>\n\n\n\n<p>Early diagnosis, the researchers stress, is crucial for implementing timely and effective interventions that can significantly enhance the developmental outcomes for children with autism.<\/p>\n\n\n\n<p>\u201cThis can drastically change the conditions for early diagnosis and interventions, and ultimately improve the quality of life for many individuals and their families,\u201d Rajagopalan added.<\/p>\n\n\n\n<p>The model particularly excelled in identifying children with greater difficulties in social communication and cognitive abilities, who also exhibit more general developmental delays. <\/p>\n\n\n\n<p>Moving forward, the research team plans to fine-tune the model and assess its performance in clinical settings, with ambitions to incorporate genetic data for enhanced specificity and accuracy in predictions.<\/p>\n\n\n\n<p>\u201cTo ensure that the model is reliable enough to be implemented in clinical contexts, rigorous work and careful validation are required,\u201d added Tammimies. &#8220;I want to emphasize that our goal is for the model to become a valuable tool for health care, and it is not intended to replace a clinical assessment of autism.\u201d <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at Sweden&#8217;s Karolinska Institutet have developed a cutting-edge machine learning model that can accurately predict autism in young children, marking a significant stride in early childhood health care. This groundbreaking study, published in JAMA Network Open, unveils a promising tool for health care professionals that could revolutionize the early detection and treatment of autism [&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":[],"class_list":["post-3679","post","type-post","status-publish","format-standard","hentry","category-ai","category-health"],"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":"Researchers at Sweden&#8217;s Karolinska Institutet have developed a cutting-edge machine learning model that can accurately predict autism in young children, marking a significant stride in early childhood health care. This groundbreaking study, published in JAMA Network Open, unveils a promising tool for health care professionals that could revolutionize the early detection and treatment of autism&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/3679","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=3679"}],"version-history":[{"count":9,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/3679\/revisions"}],"predecessor-version":[{"id":3841,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/3679\/revisions\/3841"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=3679"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=3679"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=3679"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}