{"id":2011,"date":"2023-06-23T20:50:29","date_gmt":"2023-06-23T20:50:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=2011"},"modified":"2023-06-23T21:22:42","modified_gmt":"2023-06-23T21:22:42","slug":"the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/06\/the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools\/","title":{"rendered":"Det britiske NHS annoncerer planer om at implementere AI-drevne v\u00e6rkt\u00f8jer til diagnosticering af lungekr\u00e6ft"},"content":{"rendered":"

NHS er i gang med at udrulle AI-v\u00e6rkt\u00f8jer til kr\u00e6ftdiagnose p\u00e5 landsplan, hvilket viser teknologiens evne til at fremskynde kr\u00e6ftdiagnosen.<\/b>\u00a0<\/span><\/p>\n

I en nylig annoncering<\/a>Det britiske National Health Service (NHS) vil bruge AI til at analysere r\u00f8ntgenbilleder som en del af et initiativ til 21 millioner pund, der skal fremskynde kr\u00e6ftdiagnoser og reducere ventetider.<\/span><\/p>\n

AI-drevne medicinske diagnosev\u00e6rkt\u00f8jer er blevet st\u00e6rkere og st\u00e6rkere. I l\u00f8bet af 2010'erne demonstrerede AI-computersynsmodeller (CV) deres evne til at fortolke medicinske scanninger p\u00e5 samme m\u00e5de som mennesker. I 2018 viste forskere fra DeepMind, UCL og Moorfields Eye Hospital udviklet en banebrydende AI-model<\/a> at diagnosticere 50 \u00f8jensygdomme lige s\u00e5 pr\u00e6cist som en l\u00e6ge. <\/span><\/p>\n

Derfra har AI-underst\u00f8ttet medicinsk billeddannelse og diagnostik udviklet sig hurtigt, og mange modeller har vist sig at v\u00e6re mere n\u00f8jagtige end menneskelige specialister.\u00a0<\/span><\/p>\n

I mods\u00e6tning til ofte overbebyrdede radiologer arbejder AI utr\u00e6tteligt, hvilket aflaster de menneskelige teams og g\u00f8r dem i stand til at levere bedre pleje og behandling.\u00a0<\/span><\/p>\n

I fredags sagde den britiske sundhedsminister Steve Barclay <\/span>annoncerede planer<\/span><\/a> for at implementere AI-assisteret medicinsk diagnostik for lungekr\u00e6ft inden vinter i \u00e5r. Over 20 NHS-sites er allerede begyndt at implementere denne teknologi, og de forel\u00f8bige resultater viser, at den kan v\u00e6re 40 gange mere pr\u00e6cis end traditionelle teknikker og give resultater p\u00e5 under 30 sekunder. Der foretages over 600.000 r\u00f8ntgenbilleder hver m\u00e5ned i England.<\/span><\/p>\n

Desuden vil hospitalerne begynde at implementere AI-teknologi til diagnosticering af slagtilf\u00e6lde, hvilket vil f\u00f8re til, at patienterne i gennemsnit f\u00e5r behandling en time tidligere og tredobler helbredelsesprocenten.<\/span><\/p>\n

Barclay sagde: \"Kunstig intelligens er allerede ved at \u00e6ndre den m\u00e5de, vi leverer sundhedsydelser p\u00e5, og AI-v\u00e6rkt\u00f8jer har allerede en betydelig indvirkning p\u00e5 NHS ved at diagnosticere sygdomme tidligere, hvilket betyder, at folk kan behandles hurtigere.\"<\/span><\/p>\n

Sundhedsembedsm\u00e6nd h\u00e5ber, at kunstig intelligens og andre teknologier vil hj\u00e6lpe det britiske sundhedssystem med at afhj\u00e6lpe eftersl\u00e6b og personalepres.<\/span><\/p>\n

NHS' nationale medicinske direkt\u00f8r, professor Stephen Powis, tilf\u00f8jede: \"NHS udnytter allerede fordelene ved kunstig intelligens i hele landet til at hj\u00e6lpe med at fange og behandle alvorlige sygdomme tidligere samt til at styre ventelisterne bedre, s\u00e5 patienterne kan komme hurtigere til.\"<\/span><\/p>\n

S\u00e5dan bruges AI i medicinsk diagnostik<\/span><\/h2>\n

AI Convolutional Neural Networks (CNN'er), en form for deep learning-model, er ved at \u00e6ndre den medicinske diagnostik. At fortolke scanninger er ikke nogen nem opgave, og <\/span>Unders\u00f8gelser observerer fejlrater<\/span><\/a> p\u00e5 omkring 3 til 5% eller h\u00f8jere, n\u00e5r radiologerne er tr\u00e6tte eller overbebyrdede.\u00a0<\/span><\/p>\n

CNN-modeller fungerer p\u00e5 samme m\u00e5de som neuroner i den menneskelige hjerne og skelner mellem grundl\u00e6ggende tr\u00e6k fra scanninger, s\u00e5som kanter eller teksturer, og genkender mere komplekse m\u00f8nstre, som den forskellige form og st\u00f8rrelse af lungeknuder, der kan indikere kr\u00e6ft.\u00a0<\/span><\/p>\n

Et af de f\u00f8rste store gennembrud inden for AI-underst\u00f8ttet medicinsk billeddannelse var <\/span>LUNA16 (LUng Nodule Analysis 2016) konkurrence<\/span><\/a>hvor deltagerne udviklede metoder til at identificere og diagnosticere lungekr\u00e6ft ud fra r\u00f8ntgen- og CT-billeder.\u00a0<\/span><\/p>\n

\"AI
AI-opdagede lungeknuder. Kilde: Naturen<\/a>.<\/figcaption><\/figure>\n

Mange af de algoritmer, der kom ud af denne konkurrence, matchede - eller overgik - de diagnostiske evner hos uddannede radiologer.<\/span><\/p>\n

Kort tid efter blev Googles DeepMind den f\u00f8rende innovat\u00f8r inden for medicinsk billedbehandling med kunstig intelligens og anvendte teknologien p\u00e5 omr\u00e5der som p\u00e5visning af \u00f8jensygdomme og screening for brystkr\u00e6ft. <\/span>DeepMinds <\/span>Alfafold<\/span><\/a> bruger AI-drevet 3D-modellering til at fremme vores forst\u00e5else af, hvordan proteiner fungerer, hvilket fremskynder kr\u00e6ftforskningen.<\/span><\/p>\n

Nu h\u00e5ber NHS at kunne demonstrere, hvordan banebrydende AI-medicinsk teknologi kan rulles ud over hele sundhedssystemer.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

NHS udruller AI-v\u00e6rkt\u00f8jer til kr\u00e6ftdiagnose p\u00e5 nationalt plan og demonstrerer dermed teknologiens evne til at fremskynde kr\u00e6ftdiagnosen. I en nylig meddelelse vil Storbritanniens National Health Service (NHS) bruge AI til at analysere r\u00f8ntgenbilleder som en del af et initiativ til 21 millioner pund for at fremskynde kr\u00e6ftdiagnoser og reducere ventetider. AI-drevne medicinske diagnosev\u00e6rkt\u00f8jer er g\u00e5et fra styrke til styrke. I l\u00f8bet af 2010'erne demonstrerede AI-computersynsmodeller (CV) deres evne til at fortolke medicinske scanninger p\u00e5 samme m\u00e5de som mennesker. I 2018 udviklede forskere fra DeepMind, UCL og Moorfields Eye Hospital en banebrydende AI-model til at diagnosticere 50 \u00f8jensygdomme lige s\u00e5 pr\u00e6cist som mennesker.<\/p>","protected":false},"author":2,"featured_media":2012,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,101],"class_list":["post-2011","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-medtech"],"yoast_head":"\nThe UK NHS announces plans to deploy AI-powered lung cancer diagnosis tools | DailyAI<\/title>\n<meta name=\"description\" content=\"Healthcare providers are rolling out AI technologies nationally, demonstrating the technology\u2019s ability to accelerate cancer diagnosis.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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