{"id":2009,"date":"2024-06-25T16:38:27","date_gmt":"2024-06-25T16:38:27","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=2009"},"modified":"2024-10-16T21:31:56","modified_gmt":"2024-10-16T21:31:56","slug":"bu-researchers-develop-ai-to-predict-alzheimers-risk-with-78-5-accuracy","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/bu-researchers-develop-ai-to-predict-alzheimers-risk-with-78-5-accuracy\/","title":{"rendered":"BU Researchers Develop AI to Predict Alzheimer\u2019s Risk With 78.5% 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\">Scientists at Boston University have developed an innovative AI model capable of predicting Alzheimer&#8217;s disease progression with 78.5% accuracy by analyzing patients&#8217; speech patterns. This breakthrough could lead to earlier diagnoses and more accessible screenings, significantly impacting dementia care worldwide.<\/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-b0ffac9c 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 class=\"wp-block-paragraph\">Alzheimer&#8217;s disease diagnosis could soon become more accessible and accurate thanks to a groundbreaking artificial intelligence (AI) model developed by researchers at Boston University. The newly designed AI computer program predicts, with high reliability, whether individuals with mild cognitive impairment are likely to develop Alzheimer&#8217;s-related dementia within the next six years. This innovative approach, which leverages speech analysis, has the potential to transform early diagnosis and intervention efforts for Alzheimer\u2019s disease.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This AI model predicts, with an accuracy rate of 78.5%, whether someone with mild cognitive impairment will remain stable or transition to Alzheimer\u2019s dementia over the next six years,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Traditional diagnostic methods for Alzheimer\u2019s often involve extensive assessments, including interviews, brain imaging and various lab tests. These methods can be time-consuming and are typically only performed once noticeable symptoms manifest. By then, the disease may have already caused irreversible damage.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The research, published in Alzheimer\u2019s &amp; Dementia, the journal of the Alzheimer\u2019s Association, details the development and testing of this AI model. The project taps into data from the renowned Framingham Heart Study, which, though primarily focused on cardiovascular health, also collects extensive cognitive functioning data from participants showing signs of cognitive decline.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Researchers used audio recordings of 166 clinical interviews with individuals aged 63 to 97 diagnosed with mild cognitive impairment. They applied speech recognition technology similar to that used in smart speakers, along with machine learning algorithms, to identify patterns linking speech characteristics to cognitive outcomes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cWe found we can reasonably make that prediction with relatively good confidence and accuracy,\u201d Ioannis (Yannis) Paschalidis, director of the BU Rafik B. Hariri Institute for Computing and Computational Science &amp; Engineering and a founding member of BU\u2019s Faculty of Computing &amp; Data Sciences, said in a <a href=\"https:\/\/www.bu.edu\/articles\/2024\/new-ai-program-could-predict-alzheimers-disease\/\" title=\"\">news release<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This capability enables clinicians to anticipate the progression of Alzheimer\u2019s and introduce early interventions, potentially stabilizing the patient\u2019s condition.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The practical implications of the research are profound. This model could make cognitive impairment screening and early diagnosis more accessible by automating significant portions of the process, thus reducing the reliance on expensive and specialized tests.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Alzheimer&#8217;s disease diagnosis could soon become more accessible and accurate thanks to a groundbreaking artificial intelligence (AI) model developed by researchers at Boston University. The newly designed AI computer program predicts, with high reliability, whether individuals with mild cognitive impairment are likely to develop Alzheimer&#8217;s-related dementia within the next six years. This innovative approach, which [&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":[12],"tags":[],"class_list":["post-2009","post","type-post","status-publish","format-standard","hentry","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":"Alzheimer&#8217;s disease diagnosis could soon become more accessible and accurate thanks to a groundbreaking artificial intelligence (AI) model developed by researchers at Boston University. The newly designed AI computer program predicts, with high reliability, whether individuals with mild cognitive impairment are likely to develop Alzheimer&#8217;s-related dementia within the next six years. This innovative approach, which&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2009","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=2009"}],"version-history":[{"count":5,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2009\/revisions"}],"predecessor-version":[{"id":2067,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2009\/revisions\/2067"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=2009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=2009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=2009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}