{"id":6361,"date":"2023-10-11T20:13:23","date_gmt":"2023-10-11T20:13:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=6361"},"modified":"2023-10-11T20:21:52","modified_gmt":"2023-10-11T20:21:52","slug":"ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/10\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\/","title":{"rendered":"Ny AI-model hj\u00e6lper hjernekirurger med at analysere tumorer i farten"},"content":{"rendered":"<p><b>Hjernekirurger k\u00e6mper ofte med kritiske beslutninger under hele processen med at fjerne en tumor.\u00a0<\/b><\/p>\n<p>Nu har hollandske forskere introduceret et AI-v\u00e6rkt\u00f8j til at hj\u00e6lpe den intraoperative beslutningsproces og give kirurger ultrahurtig indsigt i tumortyper og -undertyper.<\/p>\n<p><span style=\"font-weight: 400;\">If\u00f8lge en nylig <\/span><a href=\"https:\/\/www.nytimes.com\/2023\/10\/11\/health\/ai-tumor-diagnosis-brain-cancer.html\"><span style=\"font-weight: 400;\">unders\u00f8gelse offentliggjort i Nature<\/span><\/a><span style=\"font-weight: 400;\">AI'en unders\u00f8ger specifikke segmenter af en tumors DNA og identificerer forskellige kemiske strukturer. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Denne analyse giver indsigt i tumorens type og muligvis dens undertype. S\u00e5danne rettidige oplysninger kan vejlede kirurger i deres tilgang til den kirurgiske operation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Det er afg\u00f8rende, at tumorens undertype er kendt p\u00e5 operationstidspunktet,\" siger Jeroen de Ridder, der er lektor ved UMC Utrecht. \"Det, vi nu har gjort muligt, er at stille denne meget finkornede, robuste og detaljerede diagnose allerede under operationen.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Deres deep learning-system, kaldet Sturgeon, blev udsat for strenge tests. I visse indledende tests afstod AI'en fra at stille en diagnose p\u00e5 grund af tvetydige data.<\/span><\/p>\n<p>Samlet set demonstrerede forskerne modellens effektivitet i realtid p\u00e5 tv\u00e6rs af 25 operationer og opn\u00e5ede en hurtig diagnostisk behandlingstid p\u00e5 mindre end 90 minutter, hvilket er meget hurtigere end traditionelle metoder. 72% af diagnoserne var korrekte, men syv n\u00e5ede ikke op p\u00e5 den n\u00f8dvendige tillidst\u00e6rskel.<\/p>\n<p><span style=\"font-weight: 400;\">Mens den diagnostiske standardproces involverer en mikroskopisk unders\u00f8gelse af hjernetumorpr\u00f8ver, giver omfattende genetisk sekventering en dybere indsigt. Men som Dr. Alan Cohen fra Johns Hopkins understregede: \"Vi er n\u00f8dt til at starte behandlingen uden at vide, hvad vi behandler.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dr. de Ridder forklarede yderligere AI'ens evne: \"Den kan selv finde ud af, hvad den ser p\u00e5, og lave en robust klassificering.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Der er dog stadig nogle udfordringer. Variabilitet inden for tumoren, pr\u00f8vest\u00f8rrelse og visse undvigende tumorer kan udg\u00f8re vanskeligheder. Marc Pag\u00e8s-Gallego, en af unders\u00f8gelsens medforfattere, gav en forklaring p\u00e5, hvordan de h\u00e5ndterede disse problemer.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dr. Sebastian Brandner fra University College London kommenterede de praktiske forhold og sagde: \"Selve implementeringen er mindre ligetil end ofte antydet.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Selv om v\u00e6rkt\u00f8jet er et stort fremskridt, har det ogs\u00e5 sine begr\u00e6nsninger.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A<\/span><span style=\"font-weight: 400;\">Dr. Cohen indr\u00f8mmede: \"Vi har gjort nogle fremskridt, men ikke s\u00e5 mange i behandlingen som i forst\u00e5elsen af tumorernes molekyl\u00e6re profil.\"<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Mere om unders\u00f8gelsen<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Det innovative v\u00e6rkt\u00f8j 'Sturgeon' bruger deep learning til at forbedre den intraoperative klassificering af hjernetumorer og hj\u00e6lper med at tr\u00e6ffe bedre kirurgiske beslutninger.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Modellen er designet til at v\u00e6re 'ultrahurtig' til at klassificere tumortyper og undertyper.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Udfordringer:<\/b><span style=\"font-weight: 400;\"> Det er sv\u00e6rt at klassificere tumorer under operationen p\u00e5 grund af begr\u00e6nset sekvenseringstid og usikker datad\u00e6kning.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Sturgeons l\u00f8sning:<\/b><span style=\"font-weight: 400;\"> Dette deep learning-system bruger data, der stammer fra bredt tilg\u00e6ngelige methyleringsarray-data, som bruges til at profilere hjernetumorer. Sturgeon outsourcer intensive beregningsopgaver for at minimere beregningsressourcerne under operationen.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Pr\u00e6stationer:<\/b><span style=\"font-weight: 400;\"> Modellen har vist konsistente resultater, men tager ofte ikke h\u00f8jde for intratumoral diversitet. Den gav den korrekte diagnose i 72% af de kirurgiske tests.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Fremtidig udvikling:<\/b><span style=\"font-weight: 400;\"> Efterh\u00e5nden som der indsamles flere data, vil Sturgeons data blive forbedret, selv om begr\u00e6nsninger i datadeling p\u00e5 grund af bekymringer om privatlivets fred g\u00f8r l\u00e6ring p\u00e5 tv\u00e6rs af institutioner vanskelig.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Begr\u00e6nsninger:<\/b><span style=\"font-weight: 400;\"> En potentiel begr\u00e6nsning er den n\u00f8dvendige v\u00e6vsm\u00e6ngde. Modellen kr\u00e6ver en pr\u00f8vest\u00f8rrelse p\u00e5 ca. 5 x 5 x 5 mm for at opn\u00e5 de bedste resultater, men det er lykkedes at udvinde tilstr\u00e6kkeligt med DNA fra mindre pr\u00f8ver.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Med Sturgeon kan man opn\u00e5 resultater af tumordiagnostik inden for 90 minutter, hvilket er i overensstemmelse med de kirurgiske tidsfrister. Det giver kirurgerne indsigt i realtid og g\u00f8r dem i stand til at tr\u00e6ffe bedre beslutninger under operationen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Selv om Sturgeons data er gavnlige, b\u00f8r de ideelt set bruges sammen med en uddannet patologs vurdering, if\u00f8lge unders\u00f8gelsen.\u00a0<\/span><\/p>\n<p>Sturgeon slutter sig til en lang r\u00e6kke banebrydende medicinsk orienterede AI-modeller, der er skabt i \u00e5r, og som illustrerer teknologiens evne til at forandre resultaterne i sundhedsv\u00e6senet.<\/p>","protected":false},"excerpt":{"rendered":"<p>Hjernekirurger k\u00e6mper ofte med kritiske beslutninger under hele processen med at fjerne tumorer.  Nu har hollandske forskere introduceret et AI-v\u00e6rkt\u00f8j til at hj\u00e6lpe den intraoperative beslutningsproces og give kirurgerne ultrahurtig indsigt i tumortyper og -undertyper. If\u00f8lge en nylig unders\u00f8gelse offentliggjort i Nature unders\u00f8ger AI specifikke segmenter af en tumors DNA og identificerer forskellige kemiske strukturer. Denne analyse giver indsigt i tumorens type og muligvis dens undertype. S\u00e5danne rettidige oplysninger kan vejlede kirurger i deres tilgang til den kirurgiske operation. \"Det er afg\u00f8rende, at tumorens undertype er kendt p\u00e5 operationstidspunktet,\" siger Jeroen de Ridder, en af de<\/p>","protected":false},"author":2,"featured_media":6362,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[203,204,101],"class_list":["post-6361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-biotech","tag-healthcare","tag-medtech"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>New AI model helps brain surgeons analyze tumors on the fly | DailyAI<\/title>\n<meta name=\"description\" content=\"Brain surgeons often grapple with critical decisions when addressing the boundaries of tumors.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2023\/10\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New AI model helps brain surgeons analyze tumors on the fly | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Brain surgeons often grapple with critical decisions when addressing the boundaries of tumors.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/da\/2023\/10\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-11T20:13:23+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-11T20:21:52+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/shutterstock_118491940.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"670\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet af\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimeret l\u00e6setid\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/10\\\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/10\\\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\\\/\"},\"author\":{\"name\":\"Sam Jeans\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/711e81f945549438e8bbc579efdeb3c9\"},\"headline\":\"New AI model helps brain surgeons analyze tumors on the fly\",\"datePublished\":\"2023-10-11T20:13:23+00:00\",\"dateModified\":\"2023-10-11T20:21:52+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/10\\\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\\\/\"},\"wordCount\":601,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/10\\\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/10\\\/shutterstock_118491940.jpg\",\"keywords\":[\"Biotech\",\"Healthcare\",\"MedTech\"],\"articleSection\":[\"Ethics &amp; 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