{"id":236045,"date":"2026-04-27T22:53:23","date_gmt":"2026-04-28T03:53:23","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/04\/ai-tool-may-spot-adhd-years-before-children-are-diagnosed"},"modified":"2026-04-27T22:53:23","modified_gmt":"2026-04-28T03:53:23","slug":"ai-tool-may-spot-adhd-years-before-children-are-diagnosed","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/04\/ai-tool-may-spot-adhd-years-before-children-are-diagnosed","title":{"rendered":"AI tool may spot ADHD years before children are diagnosed"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-tool-may-spot-adhd-years-before-children-are-diagnosed2.jpg\"><\/a><\/p>\n<p>Attention-deficit\/hyperactivity disorder (ADHD) affects millions of children, yet many go years without a diagnosis, missing the chance for early support that can change long-term outcomes even when early signs are present. In a new study, Duke Health researchers found that artificial intelligence tools can analyze routine electronic health records to accurately estimate a child\u2019s risk of developing ADHD years before a typical diagnosis. By reviewing patterns in everyday medical data, the approach could help flag children who may benefit from earlier evaluation and follow-up.<\/p>\n<p>The research, published in <a href=\"https:\/\/www.nature.com\/articles\/s44220-026-00628-2\" target=\"_blank\"><i>Nature Mental Health<\/i><\/a>, highlights how powerful insights can come from information already collected during regular health care visits to help support early decision making by primary care providers.<\/p>\n<p>\u201cWe have this incredibly rich source of information sitting in electronic health records,\u201d said Elliot Hill, lead author of the study and data scientist in the Department of Biostatistics &amp; Bioinformatics at Duke University School of Medicine.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Attention-deficit\/hyperactivity disorder (ADHD) affects millions of children, yet many go years without a diagnosis, missing the chance for early support that can change long-term outcomes even when early signs are present. In a new study, Duke Health researchers found that artificial intelligence tools can analyze routine electronic health records to accurately estimate a child\u2019s risk [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,1495,6],"tags":[],"class_list":["post-236045","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-health","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/236045","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=236045"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/236045\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=236045"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=236045"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=236045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}