{"id":3507,"date":"2023-08-02T15:26:09","date_gmt":"2023-08-02T15:26:09","guid":{"rendered":"https:\/\/dailyai.com\/?p=3507"},"modified":"2023-08-02T15:29:40","modified_gmt":"2023-08-02T15:29:40","slug":"ai-shows-promise-in-breast-cancer-screening-study-reveals","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/08\/ai-shows-promise-in-breast-cancer-screening-study-reveals\/","title":{"rendered":"Studie visar att AI \u00e4r lovande f\u00f6r screening av br\u00f6stcancer"},"content":{"rendered":"

Enligt prelimin\u00e4ra studieresultat som publicerats av ett svenskt forskarlag kan AI-system \"s\u00e4kert\" tolka screeningbilder f\u00f6r br\u00f6stcancer, med liknande effektivitet som tv\u00e5 radiologer.<\/b><\/p>\n

Den AI-drivna screeningprocessen minskade arbetsbelastningen med 44,3% medan<\/span> uppt\u00e4cka tum\u00f6rer i mammogram med samma noggrannhet som tv\u00e5 m\u00e4nskliga radiologer.\u00a0<\/span><\/p>\n

Historiskt sett har studierna av AI:s roll i diagnostiseringen av br\u00f6stcancer fr\u00e5n mammografi varit retrospektiva och omfattat bed\u00f6mning av skanningar som redan granskats av medicinsk personal.\u00a0<\/span><\/p>\n

Omv\u00e4nt g\u00e4ller detta <\/span>nyligen genomf\u00f6rd studie<\/span><\/a> \u00e4r en randomiserad, kontrollerad befolkningsstudie som omfattar \u00f6ver 80.000 svenska kvinnor, i genomsnitt 54 \u00e5r gamla. <\/span><\/p>\n

H\u00e4lften av mammogrammen unders\u00f6ktes av 2 radiologer (vilket \u00e4r standard), medan den andra h\u00e4lften f\u00f6rst bed\u00f6mdes av AI-systemet, f\u00f6ljt av utv\u00e4rdering av 1 eller 2 radiologer (beroende p\u00e5 den indikerade maligniteten hos tum\u00f6ren, om den uppt\u00e4cktes).\u00a0<\/span><\/p>\n

Resultaten visade att 244 kvinnor som diagnostiserats med cancer identifierades genom AI-st\u00f6dd screening, j\u00e4mf\u00f6rt med 203 kvinnor som identifierats genom vanlig screening. <\/span><\/p>\n

Framf\u00f6r allt ledde anv\u00e4ndningen av AI inte till fler falska positiva resultat. Radiologernas arbetsbelastning vid screening minskade med 44,3%, vilket \u00e4r det avg\u00f6rande resultatet h\u00e4r.\u00a0<\/span><\/p>\n

Dr Kristina L\u00e5ng fr\u00e5n Lunds universitet, Sverige, s\u00e4ger, <\/span>\"Den st\u00f6rsta potentialen med AI just nu \u00e4r att den kan g\u00f6ra det m\u00f6jligt f\u00f6r radiologer att bli mindre belastade av den stora m\u00e4ngden l\u00e4sning.<\/p>\n

\"\u00c4ven om v\u00e5rt AI-st\u00f6dda screening-system kr\u00e4ver minst en radiolog som ansvarar f\u00f6r detektionen, skulle det potentiellt kunna undanr\u00f6ja behovet av dubbel l\u00e4sning av majoriteten av mammografierna, vilket skulle minska trycket p\u00e5 arbetsbelastningen och g\u00f6ra det m\u00f6jligt f\u00f6r radiologer att fokusera p\u00e5 mer avancerad diagnostik samtidigt som v\u00e4ntetiderna f\u00f6r patienterna f\u00f6rkortas.\"<\/p>\n

Den \u00f6vergripande processen f\u00f6r att identifiera cancer fr\u00e5n bilder med hj\u00e4lp av AI kallas computer vision (CV) och omfattar r\u00f6ntgen, MR och andra skanningar. En AI-st\u00f6dd MRI-skanner<\/a> har nyligen f\u00e5tt FDA-godk\u00e4nnande i USA.<\/p>\n

Uppdelning av studier<\/span><\/h2>\n
    \n
  1. Bakgrund till studien<\/b>: En randomiserad, kontrollerad, populationsbaserad studie genomf\u00f6rdes f\u00f6r att bed\u00f6ma den kliniska s\u00e4kerheten hos ett AI-st\u00f6tt protokoll f\u00f6r sk\u00e4rml\u00e4sning vid mammografi, j\u00e4mf\u00f6rt med standardmetoden f\u00f6r sk\u00e4rml\u00e4sning av radiologer.<\/span><\/li>\n
  2. F\u00f6rs\u00f6ksmetod<\/b>: Kvinnor i \u00e5ldern 40-80 \u00e5r fr\u00e5n fyra screeningcenter i Sverige informerades om studien. De som inte avstod fr\u00e5n att delta delades slumpm\u00e4ssigt in i en AI-st\u00f6dd screeninggrupp (interventionsgrupp) och en kontrollgrupp. AI-systemet gav en riskpo\u00e4ng f\u00f6r malignitet p\u00e5 en 10-gradig skala, som anv\u00e4ndes f\u00f6r att triagera screeningunders\u00f6kningar till enkel l\u00e4sning eller dubbel l\u00e4sning, med riskpo\u00e4ngen och datorst\u00f6dda detektionsm\u00e4rken tillg\u00e4ngliga f\u00f6r de radiologer som utf\u00f6rde screeningen.<\/span><\/li>\n
  3. Resultat av studien<\/b>: Fr\u00e5n april 2021 till juli 2022 tilldelades 80 033 kvinnor AI-st\u00f6dd screening eller dubbelavl\u00e4sning utan AI. AI-st\u00f6dd screening resulterade i 244 screeninguppt\u00e4ckta cancerformer, 861 \u00e5terkallelser och 46 345 sk\u00e4rmavl\u00e4sningar. Standardscreening resulterade i 203 screeningdetekterade cancerformer, 817 \u00e5terkallelser och 83 231 sk\u00e4rmavl\u00e4sningar. Arbetsbelastningen f\u00f6r sk\u00e4rml\u00e4sning minskade med 44,3% med hj\u00e4lp av AI.<\/span><\/li>\n<\/ol>\n

    Det svenska forskarlaget p\u00e5pekade att det fortfarande \u00e4r f\u00f6r tidigt att anv\u00e4nda s\u00e5dan teknik, men AI:s roll inom medicinsk diagnostik \u00e4r hittills v\u00e4ldokumenterad. Det \u00e4r bara en tidsfr\u00e5ga innan medicinsk diagnostik med AI anv\u00e4nds i stor skala.\u00a0<\/span><\/p>\n

    NHS i Storbritannien uttryckte intresse f\u00f6r studien och uppgav att man redan \u00f6verv\u00e4ger hur AI kan utnyttjas vid br\u00f6stscreening f\u00f6r att m\u00f6jligg\u00f6ra snabb, storskalig bildanalys.\u00a0<\/span>En talesman f\u00f6r NHS England <\/span>ber\u00e4ttade f\u00f6r BBC<\/span><\/a>\"Denna forskning \u00e4r mycket uppmuntrande, och planer p\u00e5g\u00e5r f\u00f6r att utv\u00e4rdera de b\u00e4sta s\u00e4tten att implementera denna teknik i NHS:s br\u00f6stscreeningprogram.\"<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Enligt prelimin\u00e4ra studieresultat som publicerats av ett svenskt forskarlag kan AI-system \"s\u00e4kert\" tolka bilder fr\u00e5n screening f\u00f6r br\u00f6stcancer, med liknande effektivitet som tv\u00e5 radiologer. Den AI-drivna screeningprocessen minskade arbetsbelastningen med 44,3% samtidigt som den uppt\u00e4ckte tum\u00f6rer i mammogrammen med samma noggrannhet som tv\u00e5 m\u00e4nskliga radiologer. Historiskt sett har studier av AI:s roll vid diagnostisering av br\u00f6stcancer fr\u00e5n mammografi varit retrospektiva och omfattat bed\u00f6mning av skanningar som redan unders\u00f6kts av medicinsk personal. Den nya studien \u00e4r d\u00e4remot en randomiserad, kontrollerad befolkningsstudie som omfattar \u00f6ver 80.000 svenska kvinnor, i genomsnitt 54 \u00e5r gamla. H\u00e4lften av mammogrammen granskades av tv\u00e5 radiologer (vilket \u00e4r standard),<\/p>","protected":false},"author":2,"featured_media":3508,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[268,203,108,178,101],"class_list":["post-3507","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-screening","tag-biotech","tag-computer-vision-cv","tag-medicine","tag-medtech"],"yoast_head":"\nAI shows promise in breast cancer screening, study reveals | DailyAI<\/title>\n<meta name=\"description\" content=\"According to interim study results published by a Swedish research team, AI systems can "safely" interpret breast cancer screening images, demonstrating similar efficiency to 2 radiologists.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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