{"id":8289,"date":"2024-04-04T07:57:07","date_gmt":"2024-04-04T06:57:07","guid":{"rendered":"https:\/\/www.optima-oncology.eu\/resultats-intelligence-artificielle-ia-explicative\/"},"modified":"2024-04-04T08:38:54","modified_gmt":"2024-04-04T07:38:54","slug":"resultats-intelligence-artificielle-ia-explicative","status":"publish","type":"page","link":"https:\/\/www.optima-oncology.eu\/fr\/resultats-intelligence-artificielle-ia-explicative\/","title":{"rendered":"R\u00e9sultats – Intelligence artificielle (IA) explicative"},"content":{"rendered":"

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Sorties<\/h1>\n

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Fiches d\u2019information et vue d\u2019ensemble<\/h2>\n

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OPTIMA
\nNote explicative sur l\u2019Intelligence Artificielle (IA)
\n<\/strong><\/h3>\n

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Vue d’ensemble<\/span><\/h4>\n

Le projet OPTIMA est une initiative collaborative visant \u00e0 am\u00e9liorer les soins en canc\u00e9rologie gr\u00e2ce
\u00e0 l’int\u00e9gration des technologies de l’intelligence artificielle (IA). Il porte sur les traitements personnalis\u00e9s et les th\u00e9rapies innovantes, en mettant l’accent sur le renforcement de la prise de d\u00e9cision partag\u00e9e entre les cliniciens et les patients.*<\/p>\n

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Objectifs<\/span><\/h4>\n

Aide <\/b>\u00e0<\/b> la <\/b>d\u00e9cision<\/b> clinique<\/b>: <\/b>D\u00e9velopper une plateforme d’aide \u00e0 la d\u00e9cision bas\u00e9e sur des lignes directrices interpr\u00e9tables par ordinateur, afin d’aider les m\u00e9decins \u00e0 prendre des d\u00e9cisions th\u00e9rapeutiques fond\u00e9es sur des donn\u00e9es probantes.\u00a0<\/p>\n

G\u00e9n\u00e9ration<\/b> de <\/b>connaissances<\/b> par <\/b>l’IA<\/b>: <\/b>Utiliser l’IA et l’analyse avanc\u00e9e sur des donn\u00e9es du monde r\u00e9el pour g\u00e9n\u00e9rer de nouvelles connaissances et de nouveaux \u00e9clairages, ce qui permettra d’am\u00e9liorer les strat\u00e9gies de soins contre le cancer.<\/p>\n

 <\/p>\n

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Applications de l’IA dans le traitement du cancer<\/span><\/h4>\n

Le <\/b>projet<\/b> OPTIMA explore <\/b>diverses<\/b> applications de <\/b>l’IA<\/b>, <\/b>notamment<\/b>:<\/b><\/p>\n

Imagerie<\/b>: <\/b>L’IA a r\u00e9volutionn\u00e9 l’analyse d’images gr\u00e2ce au d\u00e9veloppement de biomarqueurs d’imagerie pour am\u00e9liorer et soutenir la prise de d\u00e9cision dans les processus de diagnostic, de r\u00e9ponse au traitement et d’optimisation.<\/p>\n

Donn\u00e9es<\/b> des dossiers <\/b>m\u00e9dicaux<\/b> \u00e9lectroniques<\/b> (DME): <\/b>L’IA a d\u00e9montr\u00e9 sa valeur dans l’analyse de donn\u00e9es des DME, qui constituent l’une des principales modalit\u00e9s de donn\u00e9es permettant de retracer et de mieux comprendre l’histoire clinique du cancer.<\/p>\n

Traitement<\/b> du <\/b>langage<\/b> naturel (Natural Language processing <\/b>ou<\/b> NLP): <\/b>le NLP est utilis\u00e9 pour analyser les DME de l’OMOP (Observational Medical Outcomes Partnership) et \u00e9valuer le respect des directives cliniques.<\/p>\n

L’IA permet d’effectuer plusieurs t\u00e2ches sur les donn\u00e9es susmentionn\u00e9es, telles que:<\/p>\n

Classification: <\/b>La classification implique un mod\u00e8le qui vise \u00e0 pr\u00e9dire l’\u00e9tiquetage correct d’une donn\u00e9e, comme la reconnaissance des formes pour am\u00e9liorer le diagnostic pr\u00e9coce ou identifier des sous-groupes de patients pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes.<\/p>\n

 <\/p>\n

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R\u00e9gression<\/b>: <\/b>La r\u00e9gression fait r\u00e9f\u00e9rence au processus d’extraction de caract\u00e9ristiques mesurables \u00e0 partir de donn\u00e9es non structur\u00e9es, par exemple le calcul du score de Gleason \u00e0 partir d’images m\u00e9dicales.<\/p>\n

Regroupement<\/b>: <\/b>Le regroupement consiste \u00e0 identifier les similitudes au sein de groupes de donn\u00e9es, par exemple en regroupant des individus en fonction de leurs risques g\u00e9n\u00e9tiques et de leurs r\u00e9sultats de d\u00e9pistage.<\/p>\n

Pr\u00e9diction<\/b>: <\/b>La pr\u00e9diction consiste \u00e0 pr\u00e9voir divers aspects des soins aux patients, tels que la d\u00e9termination de la s\u00e9quence ou de la combinaison de traitements appropri\u00e9e, la pr\u00e9vision de l’incidence de la maladie et l’estimation des taux de survie.<\/p>\n

M<\/b>ultimodalit\u00e9<\/b>: <\/b>La multimodalit\u00e9 fait r\u00e9f\u00e9rence \u00e0 la combinaison et \u00e0 l’int\u00e9gration de diverses sources de donn\u00e9es, notamment l’imagerie m\u00e9dicale, les donn\u00e9es omiques, les DME, les donn\u00e9es OMOP, etc.\u00a0<\/p>\n

Inf\u00e9rence<\/b> causale<\/b>: <\/b>L’inf\u00e9rence causale est le processus d’identification des relations de cause \u00e0 effet dans les donn\u00e9es. Dans le contexte du projet OPTIMA, elle peut \u00eatre utilis\u00e9e pour la gestion des th\u00e9rapies et l’\u00e9valuation de la qualit\u00e9 de vie des patients afin de comprendre l’impact des traitements sur leur bien-\u00eatre.<\/p>\n

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Donn\u00e9es et protection de la vie priv\u00e9e<\/span><\/h4>\n

OPTIMA accorde une grande importance \u00e0 la confidentialit\u00e9 des donn\u00e9es et au respect de l’\u00e9thique. Les donn\u00e9es personnelles des patients sont trait\u00e9es avec la plus grande confidentialit\u00e9, et toutes les activit\u00e9s sont conformes aux r\u00e9glementations l\u00e9gales et aux directives \u00e9thiques afin de garantir le respect de la vie priv\u00e9e des patients et la protection des donn\u00e9es.<\/p>\n

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Flux de travail num\u00e9ris\u00e9s et apprentissage f\u00e9d\u00e9r\u00e9 <\/span><\/h4>\n

Pour rendre l’IA op\u00e9rationnelle dans les milieux cliniques, le projet OPTIMA vise \u00e0 num\u00e9riser les flux de travail en incorporant des lignes directrices et des questions de recherche interpr\u00e9tables par ordinateur. L’apprentissage f\u00e9d\u00e9r\u00e9 permet d’entra\u00eener collectivement des mod\u00e8les d’IA sur plusieurs sites sans partager les donn\u00e9es brutes,
ce qui pr\u00e9serve la confidentialit\u00e9 des donn\u00e9es et la r\u00e9duction des biais statistiques.<\/p>\n

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Aspects \u00e9thiques et juridiques<\/span><\/h4>\n

OPTIMA donne la priorit\u00e9 aux consid\u00e9rations \u00e9thiques, en garantissant le traitement conforme et \u00e9thique des donn\u00e9es des patients dans le cadre du projet. Des efforts sont d\u00e9ploy\u00e9s pour expliquer les mod\u00e8les d’IA et les biais potentiels, en mettant l’accent sur la transparence et l’\u00e9quit\u00e9 dans la prise de d\u00e9cision bas\u00e9e sur l’IA.<\/p>\n

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Limites de l’IA dans le secteur de la sant\u00e9<\/span><\/h4>\n

Les syst\u00e8mes d’IA peuvent apprendre et comprendre la forme des donn\u00e9es, mais ne peuvent pas leur donner une signification s\u00e9mantique. Bien qu’ils puissent identifier des mod\u00e8les, ils n’ont pas la capacit\u00e9 de comprendre les concepts sous-jacents. Cette limitation implique que l’IA peut d\u00e9tecter des donn\u00e9es m\u00e9dicales sp\u00e9cifiques associ\u00e9es \u00e0 certaines conditions (par exemple, identifier un cancer dans des images m\u00e9dicales), mais ne peut pas comprendre pleinement les concepts m\u00e9dicaux sous-jacents aux donn\u00e9es (par exemple, l’importance d’un cancer dans le contexte de la sant\u00e9 globale d’un patient).<\/p>\n

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Le projet OPTIMA est une initiative collaborative visant \u00e0 am\u00e9liorer les soins en canc\u00e9rologie gr\u00e2ce
\n\u00e0 l\u2019int\u00e9gration des technologies de l\u2019intelligence artificielle (IA)<\/p>\n","protected":false},"author":1,"featured_media":4249,"parent":0,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-8289","page","type-page","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/pages\/8289","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/comments?post=8289"}],"version-history":[{"count":3,"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/pages\/8289\/revisions"}],"predecessor-version":[{"id":8316,"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/pages\/8289\/revisions\/8316"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/media\/4249"}],"wp:attachment":[{"href":"https:\/\/www.optima-oncology.eu\/fr\/wp-json\/wp\/v2\/media?parent=8289"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}