{"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\/fr\/2023\/08\/ai-shows-promise-in-breast-cancer-screening-study-reveals\/","title":{"rendered":"Une \u00e9tude r\u00e9v\u00e8le que l'IA est prometteuse pour le d\u00e9pistage du cancer du sein"},"content":{"rendered":"

Selon les r\u00e9sultats provisoires d'une \u00e9tude publi\u00e9e par une \u00e9quipe de recherche su\u00e9doise, les syst\u00e8mes d'IA peuvent interpr\u00e9ter \"en toute s\u00e9curit\u00e9\" les images de d\u00e9pistage du cancer du sein, en faisant preuve d'une efficacit\u00e9 similaire \u00e0 celle de deux radiologues.<\/b><\/p>\n

Le processus de s\u00e9lection bas\u00e9 sur l'IA a permis de r\u00e9duire la charge de travail de 44,3%, tandis que le processus de s\u00e9lection bas\u00e9 sur l'IA a permis de r\u00e9duire la charge de travail de 10,5TP3T.<\/span> d\u00e9tecter les tumeurs dans les mammographies avec une pr\u00e9cision similaire \u00e0 celle de deux radiologues humains.\u00a0<\/span><\/p>\n

Historiquement, les \u00e9tudes sur le r\u00f4le de l'IA dans le diagnostic du cancer du sein \u00e0 partir des mammographies \u00e9taient r\u00e9trospectives, impliquant l'\u00e9valuation de scanners d\u00e9j\u00e0 examin\u00e9s par des professionnels de la sant\u00e9.\u00a0<\/span><\/p>\n

Inversement, cette <\/span>\u00e9tude r\u00e9cente<\/span><\/a> est un essai randomis\u00e9 et contr\u00f4l\u00e9 portant sur plus de 80 000 femmes su\u00e9doises \u00e2g\u00e9es en moyenne de 54 ans. <\/span><\/p>\n

La moiti\u00e9 des mammographies ont \u00e9t\u00e9 examin\u00e9es par deux radiologues (comme c'est la norme), tandis que l'autre moiti\u00e9 a d'abord \u00e9t\u00e9 \u00e9valu\u00e9e par le syst\u00e8me AI, puis par un ou deux radiologues (en fonction de la malignit\u00e9 de la tumeur, si elle a \u00e9t\u00e9 d\u00e9tect\u00e9e).\u00a0<\/span><\/p>\n

Les r\u00e9sultats ont r\u00e9v\u00e9l\u00e9 que 244 femmes diagnostiqu\u00e9es avec un cancer ont \u00e9t\u00e9 identifi\u00e9es gr\u00e2ce au d\u00e9pistage soutenu par l'IA, contre 203 femmes d\u00e9tect\u00e9es par le d\u00e9pistage standard. <\/span><\/p>\n

Notamment, l'utilisation de l'IA n'a pas entra\u00een\u00e9 une augmentation des faux positifs. La charge de travail des radiologues en mati\u00e8re de d\u00e9pistage a diminu\u00e9 de 44,3%, ce qui est le r\u00e9sultat crucial ici.\u00a0<\/span><\/p>\n

Le Dr Kristina L\u00e5ng, de l'universit\u00e9 de Lund, en Su\u00e8de, a d\u00e9clar\u00e9 : \"Nous avons besoin d'un syst\u00e8me de gestion de la qualit\u00e9, <\/span>\"Le plus grand potentiel de l'IA \u00e0 l'heure actuelle est qu'elle pourrait permettre aux radiologues d'\u00eatre moins accabl\u00e9s par le nombre excessif de lectures.<\/p>\n

\"Bien que notre syst\u00e8me de d\u00e9pistage assist\u00e9 par l'IA n\u00e9cessite au moins un radiologue charg\u00e9 de la d\u00e9tection, il pourrait potentiellement supprimer la n\u00e9cessit\u00e9 d'une double lecture pour la majorit\u00e9 des mammographies, ce qui all\u00e9gerait la charge de travail et permettrait aux radiologues de se concentrer sur des diagnostics plus avanc\u00e9s tout en r\u00e9duisant les temps d'attente pour les patientes.\"<\/p>\n

Le processus global d'identification du cancer \u00e0 partir d'images \u00e0 l'aide de l'IA est appel\u00e9 vision par ordinateur (VA) et s'\u00e9tend aux radiographies, aux IRM et \u00e0 d'autres scanners. Une Scanner IRM assist\u00e9 par l'IA<\/a> a r\u00e9cemment re\u00e7u l'autorisation de la FDA aux \u00c9tats-Unis.<\/p>\n

R\u00e9partition de l'\u00e9tude<\/span><\/h2>\n
    \n
  1. Contexte de l'\u00e9tude<\/b>: Un essai randomis\u00e9, contr\u00f4l\u00e9 et bas\u00e9 sur la population a \u00e9t\u00e9 men\u00e9 pour \u00e9valuer la s\u00e9curit\u00e9 clinique d'un protocole de lecture d'\u00e9cran assist\u00e9 par l'IA en mammographie, par rapport \u00e0 la m\u00e9thode standard de lecture d'\u00e9cran par les radiologues.<\/span><\/li>\n
  2. M\u00e9thode d'essai<\/b>: Les femmes \u00e9ligibles \u00e2g\u00e9es de 40 \u00e0 80 ans provenant de 4 sites de d\u00e9pistage en Su\u00e8de ont \u00e9t\u00e9 inform\u00e9es de l'\u00e9tude. Celles qui ne se sont pas d\u00e9sist\u00e9es ont \u00e9t\u00e9 r\u00e9parties au hasard entre le groupe de d\u00e9pistage assist\u00e9 par l'IA (groupe d'intervention) et le groupe de contr\u00f4le. Le syst\u00e8me d'IA a fourni un score de risque de malignit\u00e9 sur une \u00e9chelle de 10 niveaux, utilis\u00e9 pour trier les examens de d\u00e9pistage en lecture unique ou en double lecture, les scores de risque et les marques de d\u00e9tection assist\u00e9e par ordinateur \u00e9tant mis \u00e0 la disposition des radiologues effectuant le d\u00e9pistage.<\/span><\/li>\n
  3. R\u00e9sultats de l'\u00e9tude<\/b>: D'avril 2021 \u00e0 juillet 2022, 80 033 femmes ont \u00e9t\u00e9 assign\u00e9es \u00e0 un d\u00e9pistage soutenu par l'IA ou \u00e0 une double lecture sans IA. Le d\u00e9pistage assist\u00e9 par l'IA a donn\u00e9 lieu \u00e0 244 cancers d\u00e9tect\u00e9s, 861 rappels et 46 345 lectures d'\u00e9cran. Le d\u00e9pistage standard a donn\u00e9 lieu \u00e0 203 cancers d\u00e9tect\u00e9s, 817 rappels et 83 231 lectures d'\u00e9cran. La charge de travail li\u00e9e \u00e0 la lecture des \u00e9crans a \u00e9t\u00e9 r\u00e9duite de 44,3% gr\u00e2ce \u00e0 l'IA.<\/span><\/li>\n<\/ol>\n

    L'\u00e9quipe de recherche su\u00e9doise a indiqu\u00e9 qu'il \u00e9tait encore trop t\u00f4t pour d\u00e9ployer une telle technologie, mais le r\u00f4le de l'IA dans les diagnostics m\u00e9dicaux est bien document\u00e9 \u00e0 ce jour. Ce n'est qu'une question de temps avant que le diagnostic m\u00e9dical par l'IA ne soit d\u00e9ploy\u00e9 \u00e0 grande \u00e9chelle.\u00a0<\/span><\/p>\n

    Le NHS britannique a exprim\u00e9 son int\u00e9r\u00eat pour l'\u00e9tude, d\u00e9clarant qu'il envisageait d\u00e9j\u00e0 d'utiliser l'IA dans le cadre du d\u00e9pistage du cancer du sein afin de permettre une analyse rapide et \u00e0 grande \u00e9chelle des images.\u00a0<\/span>Un porte-parole de NHS England <\/span>a d\u00e9clar\u00e9 \u00e0 la BBC<\/span><\/a>Cette recherche est tr\u00e8s encourageante et des plans sont en cours pour \u00e9valuer les meilleurs moyens de mettre en \u0153uvre cette technologie dans le programme de d\u00e9pistage du cancer du sein du NHS.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Selon les r\u00e9sultats provisoires d'une \u00e9tude publi\u00e9e par une \u00e9quipe de recherche su\u00e9doise, les syst\u00e8mes d'IA peuvent interpr\u00e9ter \"en toute s\u00e9curit\u00e9\" les images de d\u00e9pistage du cancer du sein, en faisant preuve d'une efficacit\u00e9 similaire \u00e0 celle de deux radiologues. Le processus de d\u00e9pistage aliment\u00e9 par l'IA a permis de r\u00e9duire la charge de travail de 44,3% tout en d\u00e9tectant les tumeurs dans les mammographies avec une pr\u00e9cision similaire \u00e0 celle de deux radiologues humains. Historiquement, les \u00e9tudes sur le r\u00f4le de l'IA dans le diagnostic du cancer du sein \u00e0 partir de mammographies \u00e9taient r\u00e9trospectives, impliquant l'\u00e9valuation de scanners d\u00e9j\u00e0 examin\u00e9s par des professionnels de la sant\u00e9. \u00c0 l'inverse, cette \u00e9tude r\u00e9cente est un essai randomis\u00e9 et contr\u00f4l\u00e9 portant sur plus de 80 000 femmes su\u00e9doises \u00e2g\u00e9es en moyenne de 54 ans. La moiti\u00e9 des mammographies ont \u00e9t\u00e9 examin\u00e9es par deux radiologues (comme c'est la norme),<\/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\" 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