{"id":217335,"date":"2025-07-07T21:12:40","date_gmt":"2025-07-08T02:12:40","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/07\/ai-model-analyzes-speech-to-detect-early-neurological-disorders-with-high-accuracy"},"modified":"2025-07-07T21:12:40","modified_gmt":"2025-07-08T02:12:40","slug":"ai-model-analyzes-speech-to-detect-early-neurological-disorders-with-high-accuracy","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/07\/ai-model-analyzes-speech-to-detect-early-neurological-disorders-with-high-accuracy","title":{"rendered":"AI model analyzes speech to detect early neurological disorders with high accuracy"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-model-analyzes-speech-to-detect-early-neurological-disorders-with-high-accuracy.jpg\"><\/a><\/p>\n<p>A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel deep learning framework that significantly improves the accuracy and interpretability of detecting neurological disorders through speech. The findings were recently <a href=\"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231225013803\" target=\"_blank\">published<\/a> in Neurocomputing.<\/p>\n<p>\u201cA slight change in the way we speak might be more than just a slip of the tongue\u2014it could be a <a href=\"https:\/\/medicalxpress.com\/tags\/warning+sign\/\" rel=\"tag\" class=\"\">warning sign<\/a> from the brain,\u201d said Prof. Hai, who led the team. \u201cOur new model can detect early symptoms of neurological diseases such as Parkinson\u2019s, Huntington\u2019s, and Wilson disease, by analyzing voice recordings.\u201d<\/p>\n<p>Dysarthria is a common early symptom of various neurological disorders. Since speech abnormalities often reflect underlying neurodegenerative processes, voice signals have emerged as promising noninvasive biomarkers for the early screening and continuous monitoring of such conditions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel deep learning framework that significantly improves the accuracy and interpretability of detecting neurological disorders through speech. The findings were recently published in Neurocomputing. \u201cA slight change in the way we [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-217335","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/217335","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=217335"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/217335\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=217335"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=217335"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=217335"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}