{"id":6361,"date":"2023-10-11T20:13:23","date_gmt":"2023-10-11T20:13:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=6361"},"modified":"2023-10-11T20:21:52","modified_gmt":"2023-10-11T20:21:52","slug":"ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/10\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\/","title":{"rendered":"Un nouveau mod\u00e8le d'IA aide les chirurgiens c\u00e9r\u00e9braux \u00e0 analyser les tumeurs \u00e0 la vol\u00e9e"},"content":{"rendered":"

Les chirurgiens c\u00e9r\u00e9braux sont souvent confront\u00e9s \u00e0 des d\u00e9cisions critiques tout au long du processus d'ablation de la tumeur.\u00a0<\/b><\/p>\n

Aujourd'hui, des scientifiques n\u00e9erlandais ont mis au point un outil d'IA destin\u00e9 \u00e0 faciliter le processus d\u00e9cisionnel intra-chirurgical, en fournissant aux chirurgiens des informations ultra-rapides sur les types et sous-types de tumeurs.<\/p>\n

Selon une r\u00e9cente \u00e9tude de l <\/span>publi\u00e9e dans Nature<\/span><\/a>L'IA examine des segments sp\u00e9cifiques de l'ADN d'une tumeur et identifie des structures chimiques distinctes. <\/span><\/p>\n

Cette analyse permet de conna\u00eetre le type de tumeur et \u00e9ventuellement son sous-type. Ces informations opportunes peuvent guider les chirurgiens dans leur approche de l'op\u00e9ration chirurgicale.<\/span><\/p>\n

\"Il est imp\u00e9ratif que le sous-type de la tumeur soit connu au moment de l'op\u00e9ration\", a d\u00e9clar\u00e9 Jeroen de Ridder, professeur associ\u00e9 \u00e0 l'UMC Utrecht. \"Ce que nous avons maintenant permis de mani\u00e8re unique, c'est d'effectuer ce diagnostic tr\u00e8s fin, robuste et d\u00e9taill\u00e9 d\u00e8s l'op\u00e9ration.<\/span><\/p>\n

Leur syst\u00e8me d'apprentissage profond, baptis\u00e9 Sturgeon, a \u00e9t\u00e9 soumis \u00e0 des tests rigoureux. Lors de certains tests initiaux, l'IA s'est abstenue de poser un diagnostic en raison de donn\u00e9es ambigu\u00ebs.<\/span><\/p>\n

Dans l'ensemble, les chercheurs ont d\u00e9montr\u00e9 l'efficacit\u00e9 du mod\u00e8le en temps r\u00e9el sur 25 op\u00e9rations chirurgicales, en obtenant un d\u00e9lai de diagnostic rapide de moins de 90 minutes, bien plus rapide que les m\u00e9thodes traditionnelles. 72% des diagnostics \u00e9taient corrects, mais sept n'ont pas atteint le seuil de confiance requis.<\/p>\n

Alors que le processus de diagnostic standard implique un examen microscopique d'\u00e9chantillons de tumeurs c\u00e9r\u00e9brales, le s\u00e9quen\u00e7age g\u00e9n\u00e9tique complet permet d'obtenir des informations plus approfondies. Cependant, comme l'a soulign\u00e9 le Dr Alan Cohen, de Johns Hopkins, \"nous devons commencer le traitement sans savoir ce que nous traitons\".<\/span><\/p>\n

Le Dr de Ridder a expliqu\u00e9 plus en d\u00e9tail les capacit\u00e9s de l'IA : \"Elle peut d\u00e9terminer elle-m\u00eame ce qu'elle regarde et \u00e9tablir une classification solide\".<\/span><\/p>\n

Cependant, certains d\u00e9fis persistent. La variabilit\u00e9 au sein de la tumeur, la taille de l'\u00e9chantillon et certaines tumeurs insaisissables peuvent poser des difficult\u00e9s. \u00c0 ce sujet, Marc Pag\u00e8s-Gallego, coauteur d'une \u00e9tude, a expliqu\u00e9 comment ils ont r\u00e9solu ces probl\u00e8mes.<\/span><\/p>\n

Le Dr Sebastian Brandner, de l'University College London, a comment\u00e9 les aspects pratiques en affirmant que \"la mise en \u0153uvre elle-m\u00eame est moins simple qu'on ne le laisse souvent entendre\".<\/span><\/p>\n

Si cet outil repr\u00e9sente une avanc\u00e9e significative, il n'en a pas moins ses limites.\u00a0<\/span><\/p>\n

A<\/span>Le Dr Cohen a admis que \"nous avons fait des progr\u00e8s, mais pas autant dans le traitement que dans la compr\u00e9hension du profil mol\u00e9culaire des tumeurs\".<\/span><\/p>\n

En savoir plus sur l'\u00e9tude<\/span><\/h2>\n

L'outil innovant \"Sturgeon\" utilise l'apprentissage profond pour am\u00e9liorer la classification perop\u00e9ratoire des tumeurs c\u00e9r\u00e9brales, contribuant ainsi \u00e0 une meilleure prise de d\u00e9cision chirurgicale.\u00a0<\/span><\/p>\n

Le mod\u00e8le est con\u00e7u pour \u00eatre \"ultra-rapide\" dans la classification des types et sous-types de tumeurs.<\/span><\/p>\n

    \n
  • D\u00e9fis :<\/b> La classification des tumeurs pendant la chirurgie est difficile en raison du temps de s\u00e9quen\u00e7age limit\u00e9 et de la couverture incertaine des donn\u00e9es.\u00a0<\/span><\/li>\n
  • La solution de Sturgeon :<\/b> Ce syst\u00e8me d'apprentissage profond utilise des donn\u00e9es d\u00e9riv\u00e9es de r\u00e9seaux de m\u00e9thylation largement disponibles, qui sont utilis\u00e9s pour \u00e9tablir le profil des tumeurs c\u00e9r\u00e9brales. Sturgeon externalise les t\u00e2ches informatiques intensives afin de minimiser les ressources informatiques pendant la chirurgie.<\/span><\/li>\n
  • Performance :<\/b> Le mod\u00e8le a donn\u00e9 des r\u00e9sultats coh\u00e9rents mais ne tient souvent pas compte de la diversit\u00e9 intratumorale. Il a permis de poser le bon diagnostic dans 72% des tests chirurgicaux.\u00a0<\/span><\/li>\n
  • D\u00e9veloppement futur :<\/b> Les donn\u00e9es de Sturgeon seront enrichies au fur et \u00e0 mesure de l'acquisition de nouvelles donn\u00e9es, mais les restrictions en mati\u00e8re de partage des donn\u00e9es li\u00e9es \u00e0 la protection de la vie priv\u00e9e compliquent l'apprentissage interinstitutionnel.\u00a0<\/span><\/li>\n
  • Limites :<\/b> L'une des limites potentielles est la quantit\u00e9 de tissu n\u00e9cessaire. Le mod\u00e8le requiert un \u00e9chantillon d'environ 5 x 5 x 5 mm pour obtenir les meilleurs r\u00e9sultats, mais une quantit\u00e9 suffisante d'ADN a \u00e9t\u00e9 extraite avec succ\u00e8s \u00e0 partir d'\u00e9chantillons plus petits.<\/span><\/li>\n<\/ul>\n

    Gr\u00e2ce \u00e0 Sturgeon, les r\u00e9sultats du diagnostic des tumeurs peuvent \u00eatre obtenus en 90 minutes, ce qui correspond aux d\u00e9lais de la chirurgie. Les chirurgiens disposent ainsi d'informations en temps r\u00e9el, ce qui leur permet de prendre de meilleures d\u00e9cisions pendant l'op\u00e9ration.\u00a0<\/span><\/p>\n

    Bien que les donn\u00e9es de Sturgeon soient utiles, elles devraient id\u00e9alement \u00eatre utilis\u00e9es parall\u00e8lement \u00e0 l'\u00e9valuation d'un pathologiste qualifi\u00e9, selon l'\u00e9tude.\u00a0<\/span><\/p>\n

    Sturgeon vient s'ajouter aux nombreux mod\u00e8les d'IA de pointe \u00e0 vocation m\u00e9dicale cr\u00e9\u00e9s cette ann\u00e9e, illustrant la capacit\u00e9 de la technologie \u00e0 transformer les r\u00e9sultats des soins de sant\u00e9.<\/p>","protected":false},"excerpt":{"rendered":"

    Les chirurgiens c\u00e9r\u00e9braux sont souvent confront\u00e9s \u00e0 des d\u00e9cisions critiques tout au long du processus d'ablation des tumeurs. Aujourd'hui, des scientifiques n\u00e9erlandais ont mis au point un outil d'IA pour faciliter le processus d\u00e9cisionnel intra-chirurgical, en fournissant aux chirurgiens des informations ultra-rapides sur les types et sous-types de tumeurs. Selon une \u00e9tude r\u00e9cente publi\u00e9e dans Nature, l'IA examine des segments sp\u00e9cifiques de l'ADN d'une tumeur, en identifiant des structures chimiques distinctes. Cette analyse permet de conna\u00eetre le type de tumeur et \u00e9ventuellement son sous-type. Ces informations opportunes peuvent guider les chirurgiens dans leur approche de l'op\u00e9ration chirurgicale. \"Il est imp\u00e9ratif que le sous-type de la tumeur soit connu au moment de l'op\u00e9ration\", a d\u00e9clar\u00e9 Jeroen de Ridder, membre du conseil d'administration de l'Agence europ\u00e9enne pour la s\u00e9curit\u00e9 et la sant\u00e9 au travail (ESA), lors d'une conf\u00e9rence de presse.<\/p>","protected":false},"author":2,"featured_media":6362,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[203,204,101],"class_list":["post-6361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-biotech","tag-healthcare","tag-medtech"],"yoast_head":"\nNew AI model helps brain surgeons analyze tumors on the fly | DailyAI<\/title>\n<meta name=\"description\" content=\"Brain surgeons often grapple with critical decisions when 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