{"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\/nb\/2023\/08\/ai-shows-promise-in-breast-cancer-screening-study-reveals\/","title":{"rendered":"En studie viser at kunstig intelligens er lovende innen brystkreftscreening"},"content":{"rendered":"

If\u00f8lge forel\u00f8pige resultater fra en studie publisert av et svensk forskerteam kan AI-systemer \"trygt\" tolke bilder fra brystkreftscreening, og viser seg \u00e5 v\u00e6re like effektive som to radiologer.<\/b><\/p>\n

Den AI-drevne screeningprosessen reduserte arbeidsmengden med 44,3%, mens<\/span> oppdage svulster i mammografier med samme n\u00f8yaktighet som to menneskelige radiologer.\u00a0<\/span><\/p>\n

Historisk sett har studier av kunstig intelligens' rolle i diagnostisering av brystkreft ved hjelp av mammografi v\u00e6rt retrospektive, der man har vurdert skanninger som allerede er unders\u00f8kt av medisinsk fagpersonell.\u00a0<\/span><\/p>\n

Motsatt er dette <\/span>fersk unders\u00f8kelse<\/span><\/a> er en randomisert, kontrollert befolkningsstudie med over 80 000 svenske kvinner, i gjennomsnitt 54 \u00e5r gamle. <\/span><\/p>\n

Halvparten av mammografiene ble unders\u00f8kt av to radiologer (som standard), mens den andre halvparten f\u00f8rst ble vurdert av AI-systemet, etterfulgt av evaluering av \u00e9n eller to radiologer (avhengig av om svulsten var ondartet eller ikke, hvis den ble oppdaget).\u00a0<\/span><\/p>\n

Resultatene viste at 244 kvinner som fikk diagnosen kreft, ble identifisert gjennom AI-st\u00f8ttet screening, sammenlignet med 203 kvinner som ble oppdaget via standard screening. <\/span><\/p>\n

Det er verdt \u00e5 merke seg at bruk av AI ikke resulterte i flere falske positive funn. Radiologenes arbeidsmengde ved screening ble redusert med 44,3%, noe som er det avgj\u00f8rende resultatet her.\u00a0<\/span><\/p>\n

Dr. Kristina L\u00e5ng fra Lunds universitet, Sverige, sier <\/span>\"Det st\u00f8rste potensialet med kunstig intelligens akkurat n\u00e5 er at det kan gj\u00f8re det mulig for radiologer \u00e5 bli mindre belastet av den store mengden avlesning.<\/p>\n

\"Selv om det AI-st\u00f8ttede screening-systemet v\u00e5rt krever minst \u00e9n radiolog som er ansvarlig for deteksjonen, kan det potensielt fjerne behovet for dobbeltavlesning av de fleste mammografier, noe som vil lette presset p\u00e5 arbeidsmengden og gj\u00f8re det mulig for radiologene \u00e5 fokusere p\u00e5 mer avansert diagnostikk, samtidig som ventetiden for pasientene blir kortere.\"<\/p>\n

Den overordnede prosessen med \u00e5 identifisere kreft fra bilder ved hjelp av kunstig intelligens kalles datasyn (CV) og omfatter r\u00f8ntgenbilder, MR-bilder og andre skanninger. En AI-st\u00f8ttet MR-skanner<\/a> fikk nylig FDA-godkjenning i USA.<\/p>\n

Fordeling av studier<\/span><\/h2>\n
    \n
  1. Bakgrunn for studien<\/b>: En randomisert, kontrollert, populasjonsbasert studie ble gjennomf\u00f8rt for \u00e5 vurdere den kliniske sikkerheten ved en AI-st\u00f8ttet screeningavlesningsprotokoll ved mammografi, sammenlignet med standard screeningavlesning utf\u00f8rt av radiologer.<\/span><\/li>\n
  2. Fors\u00f8ksmetode<\/b>: Kvinner i alderen 40 til 80 \u00e5r fra fire screeningsteder i Sverige ble informert om studien. De som ikke meldte seg ut, ble tilfeldig delt inn i en AI-st\u00f8ttet screeninggruppe (intervensjonsgruppen) og en kontrollgruppe. AI-systemet ga en malignitetsrisikoscore p\u00e5 en 10-trinns skala, som ble brukt til \u00e5 triagere screeningunders\u00f8kelser til enkeltavlesning eller dobbeltavlesning, med risikoscorene og datast\u00f8ttede deteksjonsmerker tilgjengelig for radiologene som utf\u00f8rte screeningen.<\/span><\/li>\n
  3. Resultater av studien<\/b>: Fra april 2021 til juli 2022 ble 80 033 kvinner tildelt AI-st\u00f8ttet screening eller dobbeltavlesning uten AI. AI-st\u00f8ttet screening resulterte i 244 screeningoppdagede krefttilfeller, 861 tilbakekallinger og 46 345 screeningsavlesninger. Standard screening resulterte i 203 screeningsoppdagede krefttilfeller, 817 tilbakekallinger og 83 231 screeningsavlesninger. Arbeidsmengden ved screeningavlesning ble redusert med 44,3% ved bruk av AI.<\/span><\/li>\n<\/ol>\n

    Det svenske forskerteamet p\u00e5pekte at det fortsatt er for tidlig \u00e5 ta i bruk slik teknologi, men AIs rolle i medisinsk diagnostikk er godt dokumentert s\u00e5 langt. Det er bare et sp\u00f8rsm\u00e5l om tid f\u00f8r medisinsk diagnostikk med kunstig intelligens tas i bruk i stor skala.\u00a0<\/span><\/p>\n

    NHS i Storbritannia har uttrykt interesse for studien, og har uttalt at de allerede vurderer hvordan AI kan utnyttes i brystscreening for \u00e5 muliggj\u00f8re rask, storstilt bildeanalyse.\u00a0<\/span>En talsmann for NHS England <\/span>fortalte BBC<\/span><\/a>\"Denne forskningen er sv\u00e6rt oppmuntrende, og vi er i gang med \u00e5 vurdere hvordan denne teknologien best kan implementeres i NHS' brystscreeningprogram.\"<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    If\u00f8lge forel\u00f8pige resultater fra en studie publisert av et svensk forskerteam kan AI-systemer \"trygt\" tolke screeningbilder for brystkreft, og viser seg \u00e5 v\u00e6re like effektive som to radiologer. Den AI-drevne screeningprosessen reduserte arbeidsmengden med 44,3%, samtidig som den oppdaget svulster i mammografibilder med samme n\u00f8yaktighet som to menneskelige radiologer. Historisk sett har studier av kunstig intelligens i forbindelse med diagnostisering av brystkreft ved hjelp av mammografier v\u00e6rt retrospektive, og involvert vurdering av skanninger som allerede er unders\u00f8kt av medisinsk fagpersonell. Denne nye studien er derimot en randomisert, kontrollert befolkningsstudie med over 80 000 svenske kvinner, som i gjennomsnitt var 54 \u00e5r gamle. Halvparten av mammografiene ble unders\u00f8kt av to radiologer (som 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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