{"id":12171,"date":"2022-11-17T11:40:27","date_gmt":"2022-11-17T11:40:27","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=blog&p=12171"},"modified":"2023-12-07T16:59:57","modified_gmt":"2023-12-07T16:59:57","slug":"how-computer-vision-is-transforming-the-healthcare-industry","status":"publish","type":"blog","link":"https:\/\/aisuperior.com\/fr\/blog\/how-computer-vision-is-transforming-the-healthcare-industry\/","title":{"rendered":"Comment la vision par ordinateur transforme le secteur de la sant\u00e9"},"content":{"rendered":"

La vision par ordinateur est un domaine de l'intelligence artificielle qui utilise des algorithmes pour comprendre et interpr\u00e9ter des images num\u00e9riques. Avec le d\u00e9veloppement du domaine de l\u2019intelligence artificielle, en particulier dans l\u2019\u00e8re post-COVID-19, la vision par ordinateur a eu un impact consid\u00e9rable sur de nombreux secteurs, notamment celui de la sant\u00e9.<\/p>\n

Qu\u2019est-ce que la vision par ordinateur ?<\/span><\/h3>\n

La vision par ordinateur traite de la classification, de la segmentation et de l'interpr\u00e9tation des images num\u00e9riques, des vid\u00e9os et d'autres entr\u00e9es visuelles. Les mod\u00e8les d'apprentissage profond permettent aux machines de recevoir, de traiter et d'analyser des informations visuelles et, globalement, d'apprendre elles-m\u00eames \u00e0 distinguer une image d'une autre. Dans le domaine de l\u2019intelligence artificielle, la vision par ordinateur captive depuis longtemps les yeux des chercheurs.<\/p>\n

Les algorithmes et le mat\u00e9riel de vision par ordinateur ont consid\u00e9rablement \u00e9volu\u00e9 au cours des derni\u00e8res ann\u00e9es, offrant ainsi un nouvel espace d'opportunit\u00e9s pour la communaut\u00e9 des soins de sant\u00e9.<\/p>\n

Les syst\u00e8mes d'identification des patients, l'analyse d'images m\u00e9dicales, la simulation\/assistance chirurgicale, la d\u00e9tection de maladies et les logiciels de r\u00e9\u00e9ducation font partie des nombreuses applications de vision par ordinateur dans le secteur de la sant\u00e9.<\/p>\n

La vision par ordinateur peut aider les professionnels de la sant\u00e9 \u00e0 diagnostiquer avec pr\u00e9cision une maladie. Par exemple, l'analyse d'images m\u00e9dicales permet aux m\u00e9decins de visualiser les anomalies internes du corps d'un patient gr\u00e2ce aux techniques d'IRM, de radiographie aux rayons X, d'endoscopie et d'\u00e9chographie. La reconnaissance de formes et la segmentation d\u2019images sont des t\u00e2ches difficiles lors de l\u2019analyse d\u2019images m\u00e9dicales, mais les d\u00e9veloppements r\u00e9cents dans le domaine de l\u2019apprentissage profond et de l\u2019intelligence artificielle ont signal\u00e9 des progr\u00e8s significatifs dans ce domaine.<\/p>\n

Une autre application de la vision par ordinateur dans le domaine de la sant\u00e9 est la d\u00e9tection d'objets. M\u00eame si la zone est vaste comme un terrain de football, la d\u00e9tection d\u2019objets reconna\u00eet facilement les personnes et les objets dans une image ou une vid\u00e9o. Utilisant une base de donn\u00e9es de personnes ou d'objets connus, la technologie de d\u00e9tection d'objets assure la s\u00e9curit\u00e9 et la s\u00fbret\u00e9, soit en identifiant une personne dans une foule, soit en identifiant une tumeur dans un corps.<\/p>\n

La vision par ordinateur utilise des algorithmes sophistiqu\u00e9s pour diagnostiquer diff\u00e9rentes maladies. Par exemple, la vision par ordinateur utilise l\u2019intelligence artificielle pour d\u00e9pister le cancer de la peau \u00e0 partir de photographies cutan\u00e9es. L'analyse des images des patients peut \u00eatre utilis\u00e9e pour sugg\u00e9rer des plans de traitement pour chaque patient.<\/p>\n

La vision par ordinateur est \u00e9galement utile dans la planification du traitement, car elle permet aux m\u00e9decins de mieux comprendre les effets des diff\u00e9rentes m\u00e9thodes de traitement en analysant les images des patients avant et apr\u00e8s le traitement.<\/p>\n

Applications de la vision par ordinateur dans les soins de sant\u00e9<\/span><\/h3>\n

Voici quelques cas d\u2019utilisation de la vision par ordinateur dans le domaine de la sant\u00e9 qui ont transform\u00e9 le domaine m\u00e9dical\u00a0:<\/p>\n

    \n
  1. Am\u00e9liorer les soins aux patients\u00a0:<\/strong>\u00a0La vision par ordinateur permet aux m\u00e9decins de surveiller les patients \u00e0 distance et de prodiguer des soins en temps opportun aux patients, en particulier aux personnes \u00e2g\u00e9es. Parmi les applications de vision par ordinateur dans le domaine de la sant\u00e9 figurent la surveillance et la r\u00e9adaptation des patients \u00e0 domicile, o\u00f9 les m\u00e9decins surveillent les signes vitaux et suivent virtuellement les progr\u00e8s des patients.<\/li>\n
  2. Am\u00e9liorer le diagnostic et le traitement\u00a0:\u00a0<\/strong>Le diagnostic assist\u00e9 par ordinateur exploite la vision par ordinateur pour analyser avec pr\u00e9cision et rapidit\u00e9 les r\u00e9sultats des IRM, des tomodensitogrammes et des radiographies. La d\u00e9tection rapide et opportune des anomalies peut offrir une meilleure planification du traitement et un diagnostic pr\u00e9cis.<\/li>\n
  3. R\u00e9duire les co\u00fbts\u00a0:<\/strong>\u00a0L'automatisation de l'analyse des images m\u00e9dicales gr\u00e2ce \u00e0 des algorithmes de vision par ordinateur r\u00e9duit le besoin d'interpr\u00e9tation manuelle des images par les radiologues et, par cons\u00e9quent, r\u00e9duit les co\u00fbts pour les prestataires de services et les patients.<\/li>\n<\/ol>\n

    L'avenir de la vision par ordinateur dans le domaine de la sant\u00e9<\/span><\/h3>\n

    Au cours de la derni\u00e8re d\u00e9cennie, les technologies de vision par ordinateur ont \u00e9volu\u00e9 rapidement. Les algorithmes d'apprentissage profond ont am\u00e9lior\u00e9 la pr\u00e9cision moyenne des syst\u00e8mes de vision par ordinateur de 50 \u00e0 99 %. Du diagnostic pr\u00e9cis et rapide aux interventions chirurgicales pr\u00e9cises, les progr\u00e8s de l\u2019intelligence artificielle ne feront qu\u2019ajouter \u00e0 l\u2019avenir prometteur que la vision par ordinateur r\u00e9serve au secteur de la sant\u00e9.<\/p>\n

    Une application importante de la vision par ordinateur dans le domaine des soins de sant\u00e9 est la d\u00e9tection rapide de maladies telles que le cancer. La vision par ordinateur peut analyser des images de tissus et d\u00e9tecter des signes de la maladie \u00e0 des stades pr\u00e9coces qui auraient autrement \u00e9t\u00e9 tr\u00e8s difficiles, voire impossibles, \u00e0 d\u00e9tecter pour l'\u0153il humain. La d\u00e9tection pr\u00e9coce des maladies mortelles am\u00e9liore consid\u00e9rablement les chances de survie des patients.<\/p>\n

    De m\u00eame, les technologies de vision par ordinateur apportent une aide utile aux chirurgiens lors des op\u00e9rations en fournissant un acc\u00e8s visuel aux organes internes des patients, ce qui diminue les risques d'erreurs pouvant entra\u00eener des complications. Bien que cette technologie en soit encore \u00e0 ses d\u00e9buts, elle a d\u00e9j\u00e0 d\u00e9montr\u00e9 son efficacit\u00e9 et continue de s\u2019am\u00e9liorer.<\/p>\n

    Avec les progr\u00e8s continus de l\u2019intelligence artificielle et de l\u2019apprentissage automatique, on peut affirmer sans se tromper que la vision par ordinateur continuera d\u2019offrir des applications plus avanc\u00e9es pour le secteur de la sant\u00e9 dans les jours \u00e0 venir.<\/p>\n

    Compte tenu du potentiel de transformation que repr\u00e9sentent les applications de vision par ordinateur pour le secteur de la sant\u00e9, nous sommes ravis de voir quelles futures applications de vision par ordinateur seront d\u00e9velopp\u00e9es et comment elles am\u00e9lioreront la qualit\u00e9 des soins de sant\u00e9 pour les personnes du monde entier.<\/p>\n

    Comment AI Superior peut vous aider<\/span><\/h3>\n

    Chez AI Superior, nous permettons aux entreprises pharmaceutiques de cr\u00e9er des solutions bas\u00e9es sur la vision par ordinateur et l\u2019IA de pointe. Les leaders de l'industrie font d\u00e9j\u00e0 confiance \u00e0 l'expertise d'AI Superior pour d\u00e9velopper des solutions qui am\u00e9liorent le diagnostic et le traitement, telles que\u00a0traduction d'images m\u00e9dicales.<\/a><\/p>\n

    Entrer en contact<\/a>\u00a0avec nous pour d\u00e9couvrir comment nous pouvons aider votre entreprise<\/p>","protected":false},"excerpt":{"rendered":"

    Computer vision is a domain of artificial intelligence that uses algorithms to understand and interpret digital images. With the development of the field of artificial intelligence, especially in the post-COVID-19 era, computer vision has greatly impacted many industries, including the healthcare industry. What is\u00a0Computer Vision? Computer vision deals with the classification, segmentation, and interpretation of […]<\/p>\n","protected":false},"featured_media":12172,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"categories":[16],"class_list":["post-12171","blog","type-blog","status-publish","has-post-thumbnail","hentry","category-computer-vision","blog_category-computer-vision"],"acf":[],"yoast_head":"\nHow Computer Vision Is Transforming the Healthcare Industry - 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