{"id":29388,"date":"2024-07-02T11:44:47","date_gmt":"2024-07-02T11:44:47","guid":{"rendered":"https:\/\/direc.dk\/?p=29388"},"modified":"2024-12-13T14:55:09","modified_gmt":"2024-12-13T14:55:09","slug":"ai-til-kamp-mod-nyrekraeft","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/ai-til-kamp-mod-nyrekraeft\/","title":{"rendered":"AI til kamp mod nyrekr\u00e6ft"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTil nyheder<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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2 juli 2024<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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AI til kamp mod nyrekr\u00e6ft: Reducerer overbehandling og sparer samfundet millioner <\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Hvert \u00e5r gennemg\u00e5r nyretumor-patienter store lidelser p\u00e5 grund af un\u00f8dvendige biopsier og operationer. De nuv\u00e6rende diagnosticeringsmetoder lader meget tilbage at \u00f8nske. Derfor udvikler et forskerhold fra K\u00f8benhavns Universitet, Roskilde Universitet og Urologisk afdeling p\u00e5 Sj\u00e6llands Universitetshospital en forklarlig kunstig intelligens (XAI), som skal hj\u00e6lpe nyrel\u00e6ger og patienter med pr\u00e6cise diagnoser. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Nessn Azawi med en CT-scanner, som bliver brugt ved scanninger af nyrekr\u00e6ft.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Nyrekr\u00e6ft er en af de mest overbehandlede kr\u00e6ftformer i Danmark. De tilg\u00e6ngelige scanningsbilleder er ofte up\u00e5lidelige, og hver femte CT-skanning er falsk-positiv. Det betyder, at helt op til 27 procent af nyretumor-patienter gennemg\u00e5r smertefulde biopsier og operationer uden at have kr\u00e6ft.<\/p>\n

Derfor testes en nyudviklet AI-model lige nu p\u00e5 Sj\u00e6llands Universitetshospital. Den er bedre end erfarne l\u00e6ger til at diagnosticere nyrekr\u00e6ft p\u00e5 baggrund af scanningsbilleder. Problemet er blot, at l\u00e6gerne ikke forklare, hvorfor modellen konkluderer, som den g\u00f8r. Det s\u00e6tter en stopper for AI-modellens udbredelse.<\/p>\n

I forsknings- og innovationsprojektet EXPLAIN ME, som er finansieret af Digital Research Centre Denmark, er et hold af forskere fra K\u00f8benhavns Universitet, Roskilde Universitet og Urologisk afdeling p\u00e5 Sj\u00e6llands Universitetshospital i gang med at overs\u00e6tte modellens konklusioner.<\/p>\n

\u201cSelvom det er fristende, kan vi ikke bare lade s\u00e5 store beslutninger v\u00e6re op til AI. Vi er n\u00f8dt til at kende dens neurale m\u00f8nstre ordentligt fra start, f\u00f8r vi kan bruge den i praksis,\u201d siger Nessn Azawi, overl\u00e6ge p\u00e5 Sj\u00e6llands Universitetshospital, Urologisk afdeling og lektor p\u00e5 K\u00f8benhavns Universitet.<\/p>\n

Store besparelser for samfundet<\/h5>\n

Som en del af projektet EXPLAIN-ME har Nessn Azawi og hans forskerteam siden 2022 fors\u00f8gt at skabe en forklarlig kunstig intelligens (XAI), som kan forklare nyrel\u00e6gerne, hvorn\u00e5r en operation er n\u00f8dvendig. Og ikke mindst hvorfor.<\/p>\n

De 1000 danske patienter, der hvert \u00e5r f\u00e5r nyrekr\u00e6ft, har sj\u00e6ldent symptomer, f\u00f8r kr\u00e6ften er fremskreden. Den store usikkerhed i diagnosticeringen betyder, at mange patienter overbehandles. If\u00f8lge Nessn Azawi vil diagnosticering med AI kunne korte 2-4 uger af behandlingsforl\u00f8bet og spare sundhedsv\u00e6senet for omkring 15-25 millioner kroner \u00e5rligt. De positive konsekvenser maksimeres, hvis teknologien udbredes til hele Norden.<\/p>\n

\u201cVi overbehandler omkring 30.000 patienter med nyrekr\u00e6ft i de skandinaviske lande. Hvis vi kan forbedre diagnosen, vil det give markante positive afledte effekter. B\u00e5de for samfundet og patienterne,\u201d siger Nessn Azawi.<\/p>\n

En tv\u00e6rfaglig \u00f8velse<\/h5>\n

Allerede nu har forskerne testet AI-modellen p\u00e5 Roskilde Universitet med gode resultater. Den n\u00e6ste milep\u00e6l er at skabe en model med et mere detaljeret datas\u00e6t, som med solide argumenter kan hj\u00e6lpe nyrel\u00e6ger med at diagnosticere nyrekr\u00e6ft korrekt. Det har Ph.d.-studerende Daniel van Dijk Jacobsen fra Roskilde Universitets Institut for Mennesker og Teknologi arbejdet p\u00e5 de seneste to \u00e5r.<\/p>\n

\u201cDet, der g\u00f8r det sv\u00e6rt er, at vi ikke ved, hvad modellen ser p\u00e5, n\u00e5r den kommer frem til diagnosen. Det handler om p\u00e5 pixelniveau at finde den sammenh\u00e6ng, som modellen ser. Og efterf\u00f8lgende formidle det til l\u00e6gerne,\u201d siger han.<\/p>\n

Derfor har det v\u00e6ret n\u00f8dvendigt at arbejde p\u00e5 tv\u00e6rs af fagligheder. Blandt andet med etnografiske observationsunders\u00f8gelser ved patientkontakt, participatorisk design og l\u00f8bende samtaler med det medicinske personale p\u00e5 Sj\u00e6llands Universitetshospital.<\/p>\n

\u201cJeg oplever, at l\u00e6gerne er begejstrede for at udforske de teknologiske muligheder, for de vil meget gerne have hj\u00e6lp til mere pr\u00e6cis diagnosticering. De vil gerne kunne sammenholde patientens historik med maskinens diagnose og tage en beslutning p\u00e5 et bedre grundlag, end de kan i dag, siger Daniel van Dijk Jacobsen.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Ved at analysere CT-scanninger kan kunstig intelligens vurdere sandsynligheden for, om en tumor er ondartet eller godartet og hj\u00e6lpe l\u00e6ger med at vurdere, om der er behov for en operation.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Lige nu s\u00f8ger forskerne flere midler, der kan underst\u00f8tte m\u00e5let om at implementere modellen p\u00e5 danske hospitaler inden for f\u00e5 \u00e5r. DIREC har st\u00f8ttet EXPLAIN-ME-projektet med 7,39 mio. fra 2023-2025. kr. Ud over diagnosticering af nyrekr\u00e6ft fokuserer projektet p\u00e5 ultralydsscanninger af gravide og robot-kirurgi.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Hvad er forklarlig kunstig intelligens (XAI)? <\/strong><\/h5>\n

Forklarlig kunstig intelligens handler om at forklare baggrunden for AI-modellers output og styrke tilliden til modellens beslutninger. Maskinl\u00e6ringsmodeller bliver mere og mere komplekse. Samtidig bliver de i stigende grad brugt til at tage vigtige beslutninger. Med forklarlig kunstig intelligens kan brugeren bl.a. finde frem til, hvilke data modellen er tr\u00e6net p\u00e5 og vurdere om outputtet er korrekt.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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24. juni 2024<\/b>
\nHvert \u00e5r gennemg\u00e5r nyretumor-patienter store lidelser p\u00e5 grund af un\u00f8dvendige biopsier og operationer. De nuv\u00e6rende diagnosticeringsmetoder lader meget tilbage at \u00f8nske. Derfor udvikler et forskerhold fra K\u00f8benhavns Universitet, Roskilde Universitet og Urologisk afdeling p\u00e5 Sj\u00e6llands Universitetshospital en forklarlig kunstig intelligens (XAI), som skal hj\u00e6lpe nyrel\u00e6ger og patienter med pr\u00e6cise diagnoser. <\/p>\n","protected":false},"author":3,"featured_media":29376,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[176,185,31],"tags":[],"class_list":["post-29388","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-da","category-health-tech-da","category-nyheder"],"yoast_head":"\nAI til kamp mod nyrekr\u00e6ft - DIREC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/direc.dk\/da\/ai-til-kamp-mod-nyrekraeft\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI til kamp mod nyrekr\u00e6ft - DIREC\" \/>\n<meta property=\"og:description\" content=\"24. juni 2024 Hvert \u00e5r gennemg\u00e5r nyretumor-patienter store lidelser p\u00e5 grund af un\u00f8dvendige biopsier og operationer. De nuv\u00e6rende diagnosticeringsmetoder lader meget tilbage at \u00f8nske. 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