{"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\/da\/2023\/08\/ai-shows-promise-in-breast-cancer-screening-study-reveals\/","title":{"rendered":"AI er lovende til screening for brystkr\u00e6ft, viser unders\u00f8gelse"},"content":{"rendered":"

If\u00f8lge forel\u00f8bige unders\u00f8gelsesresultater offentliggjort af et svensk forskerhold kan AI-systemer \"sikkert\" fortolke billeder fra brystkr\u00e6ftscreening og udvise samme effektivitet som to radiologer.<\/b><\/p>\n

Den AI-drevne screeningsproces reducerede arbejdsbyrden med 44,3%, mens<\/span> opdage tumorer i mammografier med samme n\u00f8jagtighed som to menneskelige radiologer.\u00a0<\/span><\/p>\n

Historisk set har unders\u00f8gelser af AI's rolle i diagnosticering af brystkr\u00e6ft ud fra mammografier v\u00e6ret retrospektive og involveret vurdering af scanninger, der allerede var unders\u00f8gt af l\u00e6ger.\u00a0<\/span><\/p>\n

Omvendt er dette <\/span>nylig unders\u00f8gelse<\/span><\/a> er et randomiseret, kontrolleret befolkningsfors\u00f8g med over 80.000 svenske kvinder, der i gennemsnit var 54 \u00e5r gamle. <\/span><\/p>\n

Halvdelen af mammogrammerne blev unders\u00f8gt af 2 radiologer (som standard), mens den anden halvdel f\u00f8rst blev vurderet af AI-systemet, efterfulgt af evaluering af 1 eller 2 radiologer (afh\u00e6ngigt af den indikerede malignitet af tumoren, hvis den blev opdaget).\u00a0<\/span><\/p>\n

Resultaterne viste, at 244 kvinder med kr\u00e6ft blev identificeret via AI-st\u00f8ttet screening sammenlignet med 203 kvinder, der blev opdaget via standard screening. <\/span><\/p>\n

Det er bem\u00e6rkelsesv\u00e6rdigt, at brugen af AI ikke resulterede i flere falske positiver. Der var et fald p\u00e5 44,3% i radiologernes arbejdsbyrde i forbindelse med screening, hvilket er det afg\u00f8rende resultat her.\u00a0<\/span><\/p>\n

Dr. Kristina L\u00e5ng fra Lunds Universitet i Sverige sagde, <\/span>\"Det st\u00f8rste potentiale ved AI lige nu er, at det kan g\u00f8re det muligt for radiologer at blive mindre belastet af den store m\u00e6ngde l\u00e6sning.<\/p>\n

\"Selvom vores AI-underst\u00f8ttede screeningssystem kr\u00e6ver mindst \u00e9n radiolog, der st\u00e5r for opsporingen, kan det potentielt fjerne behovet for dobbeltl\u00e6sning af st\u00f8rstedelen af mammogrammerne, hvilket letter presset p\u00e5 arbejdsbyrden og g\u00f8r det muligt for radiologerne at fokusere p\u00e5 mere avanceret diagnostik og samtidig forkorte ventetiden for patienterne.\"<\/p>\n

Den overordnede proces med at identificere kr\u00e6ft ud fra billeder ved hj\u00e6lp af AI kaldes computer vision (CV) og omfatter r\u00f8ntgenbilleder, MR-scanninger og andre scanninger. En AI-underst\u00f8ttet MR-scanner<\/a> fik for nylig FDA-godkendelse i USA.<\/p>\n

Opdeling af unders\u00f8gelsen<\/span><\/h2>\n
    \n
  1. Baggrund for unders\u00f8gelsen<\/b>: Et randomiseret, kontrolleret, befolkningsbaseret fors\u00f8g blev udf\u00f8rt for at vurdere den kliniske sikkerhed ved en AI-st\u00f8ttet sk\u00e6rml\u00e6sningsprotokol i mammografi sammenlignet med standardsk\u00e6rml\u00e6sning af radiologer.<\/span><\/li>\n
  2. Fors\u00f8gsmetode<\/b>: Kvalificerede kvinder i alderen 40 til 80 \u00e5r fra 4 screeningssteder i Sverige blev informeret om unders\u00f8gelsen. De, der ikke meldte fra, blev tilf\u00e6ldigt inddelt i den AI-st\u00f8ttede screeningsgruppe (interventionsgruppen) og kontrolgruppen. AI-systemet gav en malignitetsrisikoscore p\u00e5 en 10-trinsskala, der blev brugt til at sortere screeningsunders\u00f8gelser til enkeltl\u00e6sning eller dobbeltl\u00e6sning, hvor risikoscorerne og computerst\u00f8ttede detektionsm\u00e6rker var tilg\u00e6ngelige for de radiologer, der foretog screeningen.<\/span><\/li>\n
  3. Resultater af unders\u00f8gelsen<\/b>: Fra april 2021 til juli 2022 blev 80.033 kvinder tildelt AI-st\u00f8ttet screening eller dobbeltl\u00e6sning uden AI. AI-st\u00f8ttet screening resulterede i 244 screenopdagede kr\u00e6ftformer, 861 tilbagekaldelser og 46.345 screenafl\u00e6sninger. Standard screening resulterede i 203 screen-opdagede kr\u00e6ftformer, 817 tilbagekaldelser og 83.231 sk\u00e6rml\u00e6sninger. Arbejdsbyrden for sk\u00e6rml\u00e6sning blev reduceret med 44,3% ved hj\u00e6lp af AI.<\/span><\/li>\n<\/ol>\n

    Det svenske forskerhold p\u00e5pegede, at det stadig er for tidligt at anvende en s\u00e5dan teknologi, men AI's rolle i medicinsk diagnostik er indtil videre veldokumenteret. Det er kun et sp\u00f8rgsm\u00e5l om tid, f\u00f8r medicinsk diagnostik med kunstig intelligens tages i brug i stor skala.\u00a0<\/span><\/p>\n

    Det britiske NHS udtrykte interesse for unders\u00f8gelsen og sagde, at de allerede overvejer, hvordan AI kan udnyttes i brystscreening for at muligg\u00f8re hurtig billedanalyse i stor skala.\u00a0<\/span>En talsmand for NHS England <\/span>fortalte BBC<\/span><\/a>\"Denne forskning er meget opmuntrende, og der er planer om at vurdere de bedste m\u00e5der at implementere denne teknologi p\u00e5 i NHS' brystscreeningsprogram.\"<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    If\u00f8lge forel\u00f8bige unders\u00f8gelsesresultater offentliggjort af et svensk forskerteam kan AI-systemer \"sikkert\" fortolke billeder til brystkr\u00e6ftscreening og udvise samme effektivitet som 2 radiologer. Den AI-drevne screeningsproces reducerede arbejdsbyrden med 44,3%, mens den opdagede tumorer i mammogrammer med samme n\u00f8jagtighed som to menneskelige radiologer. Historisk set har unders\u00f8gelser af AI's rolle i diagnosticering af brystkr\u00e6ft ud fra mammografier v\u00e6ret retrospektive og involveret vurdering af scanninger, der allerede var unders\u00f8gt af l\u00e6ger. Omvendt er denne nye unders\u00f8gelse et randomiseret, kontrolleret befolkningsfors\u00f8g med over 80.000 svenske kvinder, der i gennemsnit var 54 \u00e5r gamle. Halvdelen af mammogrammerne blev unders\u00f8gt af 2 radiologer (som det er 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 rel=\"canonical\" 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