{"id":20309,"date":"2025-03-17T23:26:22","date_gmt":"2025-03-17T23:26:22","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=20309"},"modified":"2025-03-17T23:26:54","modified_gmt":"2025-03-17T23:26:54","slug":"new-ai-model-revolutionizes-full-night-sleep-analysis","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-ai-model-revolutionizes-full-night-sleep-analysis\/","title":{"rendered":"New AI Model Revolutionizes Full-Night Sleep Analysis"},"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\">At Mount Sinai, a transformer-based AI model now processes entire nights of sleep data, potentially transforming sleep research and diagnostics by offering unparalleled accuracy and insights.<\/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 the Icahn School of Medicine at Mount Sinai have developed an advanced AI tool designed to analyze an entire night&#8217;s sleep with unprecedented accuracy. Dubbed the Patch Foundational Transformer for Sleep (PFTSleep), this transformative AI model has the potential to revolutionize how sleep disorders are diagnosed and treated.<\/p>\n\n\n\n<p><a href=\"https:\/\/academic.oup.com\/sleep\/advance-article-abstract\/doi\/10.1093\/sleep\/zsaf061\/8075113\" target=\"_blank\" rel=\"noopener\" title=\"\">Published<\/a> in the journal Sleep, the study is one of the largest of its kind, examining over 1 million hours of sleep data. The PFTSleep model employs a transformer architecture similar to those used in large language models such as ChatGPT, but specifically tailored to process extensive sleep signals.<\/p>\n\n\n\n<p>&#8220;This is a step forward in AI-assisted sleep analysis and interpretation,&#8221; first author Benjamin Fox, a doctoral candidate at the Icahn School of Medicine at Mount Sinai in the Artificial Intelligence and Emerging Technologies Training Area, said in a news release. \u201cBy leveraging AI in this way, we can learn relevant clinical features directly from sleep study signal data and use them for sleep scoring and, in the future, other clinical applications such as detecting sleep apnea or assessing health risks linked to sleep quality.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Comprehensive Sleep Analysis<\/h2>\n\n\n\n<p>Traditional sleep analysis often relies on human experts to manually score short segments of sleep data, or on AI models that can only analyze brief periods. <\/p>\n\n\n\n<p>However, this new approach analyzes complete nights of sleep data, including brain waves, muscle activity, heart rate and breathing patterns, thereby capturing more detailed and nuanced sleep patterns.<\/p>\n\n\n\n<p>The model\u2019s comprehensive analysis promises to standardize sleep research and support clinical tools aimed at identifying sleep disorders and other health risks.<\/p>\n\n\n\n<p>\u201cOur findings suggest that AI could transform how we study and understand sleep,\u201d added co-senior corresponding author Ankit Parekh, an assistant professor of medicine at at the Icahn School of Medicine at Mount Sinai and director of the Sleep and Circadian Analysis Group at Mount Sinai. \u201cOur next goal is to refine the technology for clinical applications, such as identifying sleep-related health risks more efficiently.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Impact on Clinical Practice<\/h2>\n\n\n\n<p>The innovative AI tool is particularly significant in enhancing the efficiency and consistency of sleep studies. While it will not replace clinical expertise, it aims to aid sleep specialists by providing faster and more standardized analyses.<\/p>\n\n\n\n<p>\u201cThis AI-driven approach has the potential to revolutionize sleep research,\u201d added co-senior corresponding author Girish N. Nadkarni, the chair of the Windreich Department of Artificial Intelligence and Human Health at Mount Sinai. \u201cBy analyzing entire nights of sleep with greater consistency, we can uncover deeper insights into sleep health and its connection to overall well-being.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Future Directions<\/h2>\n\n\n\n<p>Next steps for the researchers include expanding the AI&#8217;s capabilities beyond sleep-stage classification to detect specific sleep disorders and to predict various health outcomes. This advancement is vital for creating new diagnostic tools and treatments that could improve patients&#8217; lives.<\/p>\n\n\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source:<\/strong> <a href=\"https:\/\/www.mountsinai.org\/about\/newsroom\/2025\/new-ai-model-analyzes-full-night-of-sleep-with-high-accuracy-in-largest-study-of-its-kind\" target=\"_blank\" rel=\"noopener\" title=\"\">Icahn School of Medicine at Mount Sinai<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at the Icahn School of Medicine at Mount Sinai have developed an advanced AI tool designed to analyze an entire night&#8217;s sleep with unprecedented accuracy. Dubbed the Patch Foundational Transformer for Sleep (PFTSleep), this transformative AI model has the potential to revolutionize how sleep disorders are diagnosed and treated. Published in the journal Sleep, [&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":[172],"class_list":["post-20309","post","type-post","status-publish","format-standard","hentry","category-ai","tag-icahn-school-of-medicine-at-mount-sinai"],"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 the Icahn School of Medicine at Mount Sinai have developed an advanced AI tool designed to analyze an entire night&#8217;s sleep with unprecedented accuracy. Dubbed the Patch Foundational Transformer for Sleep (PFTSleep), this transformative AI model has the potential to revolutionize how sleep disorders are diagnosed and treated. Published in the journal Sleep,&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/20309","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=20309"}],"version-history":[{"count":5,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/20309\/revisions"}],"predecessor-version":[{"id":20318,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/20309\/revisions\/20318"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=20309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=20309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=20309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}