{"id":2422,"date":"2022-11-25T13:00:30","date_gmt":"2022-11-25T13:00:30","guid":{"rendered":"https:\/\/ciehaufr1i.wpdns.site\/nouvelles\/le-dr-alexandre-cadrin-chenevert-et-le-journal-radiology-artificial-intelligence-poursuivent-la-recherche-dapplications-de-lia-en-radiologie\/"},"modified":"2024-08-30T14:27:35","modified_gmt":"2024-08-30T14:27:35","slug":"le-dr-alexandre-cadrin-chenevert-et-le-journal-radiology-artificial-intelligence-poursuivent-la-recherche-dapplications-de-lia-en-radiologie","status":"publish","type":"post","link":"https:\/\/car.ca\/fr\/nouvelles\/le-dr-alexandre-cadrin-chenevert-et-le-journal-radiology-artificial-intelligence-poursuivent-la-recherche-dapplications-de-lia-en-radiologie\/","title":{"rendered":"Le Dr Alexandre Cadrin-Ch\u00eanevert et le journal Radiology: Artificial Intelligence poursuivent la recherche d\u2019applications de l\u2019IA en radiologie"},"content":{"rendered":"<p>L\u2019introduction des applications de l\u2019intelligence artificielle (IA) dans le domaine de la radiologie est une priorit\u00e9 importante de l\u2019Association canadienne des radiologistes (CAR), et le Dr Alexandre Cadrin-Ch\u00eanevert, membre de la CAR, s\u2019efforce de concr\u00e9tiser les possibilit\u00e9s de cette technologie en constante \u00e9volution.<!--more--><\/p>\n<p>Le Dr Cadrin-Ch\u00eanevert est \u00e9diteur associ\u00e9 du comit\u00e9 de r\u00e9daction de la revue de la Radiological Society of North America (RSNA), <em>Radiology: Artificial Intelligence. <\/em>Selon lui, trouver des applications de l\u2019IA qui am\u00e9liorent les flux de travail en radiologie et les r\u00e9sultats pour les patients est un travail crucial pour le pr\u00e9sent et l\u2019avenir de l\u2019imagerie m\u00e9dicale.<\/p>\n<p>\u00ab\u00a0Le d\u00e9veloppement et l\u2019int\u00e9gration clinique fiable des algorithmes d\u2019intelligence artificielle sont une question fondamentale pour l\u2019avenir de la radiologie, tant en termes de qualit\u00e9 que d\u2019accessibilit\u00e9 sur une dur\u00e9e de 20\u00a0ans, et la participation active des radiologistes au processus est primordiale pour une \u00e9volution technologique harmonieuse et b\u00e9n\u00e9fique pour tous.\u00a0\u00bb<\/p>\n<p>Selon le Dr Cadrin-Ch\u00eanevert, la revue a connu un essor rapide et est en passe de devenir un chef de file scientifique international dans ce domaine de recherche, qui s\u2019est d\u00e9velopp\u00e9 ces derni\u00e8res ann\u00e9es.<\/p>\n<p>\u00ab\u00a0La recherche sur l\u2019apprentissage profond appliqu\u00e9e \u00e0 l\u2019imagerie m\u00e9dicale a litt\u00e9ralement explos\u00e9 depuis\u00a02017 et repr\u00e9sente d\u00e9sormais une part importante de la recherche dans toutes les sous-sp\u00e9cialit\u00e9s de la radiologie. Dans un environnement en constante \u00e9volution, la participation au comit\u00e9 de r\u00e9daction permet de suivre les nouvelles tendances de la litt\u00e9rature.\u00a0\u00bb<\/p>\n<blockquote class=\"twitter-tweet\" data-width=\"500\" data-dnt=\"true\">\n<p lang=\"en\" dir=\"ltr\">Multi-institutional deidentified data sharing for training\/validation is the key to foster generalizable innovation.<\/p>\n<p>Even more important for low-prevalence cancers.<\/p>\n<p>When data sharing is not legally or ethically possible, federated learning is a decent alternative.<a href=\"https:\/\/twitter.com\/hashtag\/RadAIchat?src=hash&amp;ref_src=twsrc%5Etfw\" target=\"_blank\" rel=\"noopener\">#RadAIchat<\/a> <a href=\"https:\/\/t.co\/rF4Bm6Rozi\">https:\/\/t.co\/rF4Bm6Rozi<\/a><\/p>\n<p>&mdash; Alexandre Cadrin-Ch\u00eanevert (@alexandrecadrin) <a href=\"https:\/\/twitter.com\/alexandrecadrin\/status\/1567676748359208966?ref_src=twsrc%5Etfw\" target=\"_blank\" rel=\"noopener\">September 8, 2022<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Afin de faire progresser ce domaine de recherche complexe, il est n\u00e9cessaire de disposer d\u2019un large \u00e9ventail de connaissances provenant d\u2019experts issus de diff\u00e9rents domaines, explique le Dr Cadrin-Ch\u00eanevert.<\/p>\n<p>\u00ab\u00a0La diversit\u00e9 des membres du Conseil d\u2019administration issus des domaines de l\u2019informatique, de l\u2019apprentissage automatique et de la radiologie offre une tribune unique pour favoriser l\u2019apprentissage mutuel et la communication fluide entre ces experts.\u00a0\u00bb<\/p>\n<p>Bien qu\u2019il existe d\u2019innombrables voies de recherche en IA, le Dr Cadrin-Ch\u00eanevert s\u2019int\u00e9resse \u00e0 un domaine bien sp\u00e9cifique.<\/p>\n<p>\u00ab\u00a0Je m\u2019int\u00e9resse de mani\u00e8re significative au partage public de donn\u00e9es anonymis\u00e9es et \u00e0 la cr\u00e9ation de grands ensembles de donn\u00e9es d\u2019imagerie m\u00e9dicale. Selon moi, il s\u2019agit du facteur le plus important dans ce domaine de recherche pour maximiser l\u2019incidence scientifique et favoriser un d\u00e9veloppement \u00e9quitable, fiable et reproductible de ces algorithmes\u00a0\u00bb, a-t-il d\u00e9clar\u00e9. \u00ab\u00a0Dans ce contexte, j\u2019ai r\u00e9cemment \u00e9crit un <a href=\"https:\/\/pubs.rsna.org\/doi\/abs\/10.1148\/ryai.220126\" target=\"_blank\" rel=\"noopener\">commentaire<\/a> dans notre journal pr\u00e9sentant un article dont les auteurs ont partag\u00e9 publiquement un grand ensemble de donn\u00e9es de plus de 1,35\u00a0million d\u2019images nomm\u00e9 <a href=\"https:\/\/pubs.rsna.org\/doi\/10.1148\/ryai.210315\" target=\"_blank\" rel=\"noopener\"><em>RadImageNet<\/em><\/a>, qui aura sans aucun doute un effet notable sur ce domaine de recherche.\u00a0\u00bb<\/p>\n<p>Pour ce qui est de l\u2019avenir, le Dr Cadrin-Ch\u00eanevert se r\u00e9jouit des possibilit\u00e9s de synergie entre les outils d\u2019IA et le travail de la radiologie et pense que les r\u00e9sultats \u00e0 venir seront absolument indispensables au maintien de notre syst\u00e8me de sant\u00e9 national.<\/p>\n<p>\u00ab\u00a0Au Canada, le vieillissement de la population continuera \u00e0 exercer une forte pression sur notre syst\u00e8me de sant\u00e9 dans un avenir proche, avec une augmentation significative de la demande de services de radiologie dans un contexte de ressources limit\u00e9es. \u00c0 mesure que les outils d\u2019IA gagneront en maturit\u00e9, en robustesse et en s\u00e9curit\u00e9, leur int\u00e9gration clinique augmentera notre productivit\u00e9 pour promouvoir la qualit\u00e9 et l\u2019accessibilit\u00e9 de nos services. Dans notre contexte, ce ne sera pas seulement exaltant, ce sera n\u00e9cessaire.\u00a0\u00bb<\/p>\n<p>Alors que le domaine de la recherche en IA progresse, le Dr Cadrin-Ch\u00eanevert estime qu\u2019il est important pour le journal de maintenir une pr\u00e9sence acad\u00e9mique sur les r\u00e9seaux sociaux. Les lecteurs int\u00e9ress\u00e9s peuvent d\u00e9couvrir la revue <em>Radiology: Artificial Intelligence<\/em> en suivant <a href=\"https:\/\/twitter.com\/Radiology_AI\" target=\"_blank\" rel=\"noopener\">@Radiology_AI<\/a> sur Twitter et retrouver la derni\u00e8re publication <a href=\"https:\/\/pubs.rsna.org\/journal\/ai\" target=\"_blank\" rel=\"noopener\">en ligne<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>L\u2019introduction des applications de l\u2019intelligence artificielle (IA) dans le domaine de la radiologie est une priorit\u00e9 importante de l\u2019Association canadienne des radiologistes (CAR), et le Dr Alexandre Cadrin-Ch\u00eanevert, membre de la CAR, s\u2019efforce de concr\u00e9tiser les possibilit\u00e9s de cette technologie en constante \u00e9volution.<\/p>\n","protected":false},"author":2,"featured_media":1122,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":"","_uag_custom_page_level_css":"","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":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","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":""}},"footnotes":""},"categories":[9],"tags":[],"post_topic_taxonomy":[497,489],"post_modality_taxonomy":[],"class_list":["post-2422","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nouvelles"],"acf":[],"spectra_custom_meta":{"_wp_page_template":["default"],"_thumbnail_id":["1122"],"_wpml_word_count":["{\"total\":642,\"to_translate\":{\"en\":642}}"],"_oembed_ab538852840f91bea42b0f7bcbe7d1bf":["<blockquote class=\"twitter-tweet\" data-width=\"500\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">Multi-institutional deidentified data sharing for training\/validation is the key to foster generalizable innovation.<br><br>Even more important for low-prevalence cancers.<br><br>When data sharing is not legally or ethically possible, federated learning is a decent alternative.<a href=\"https:\/\/twitter.com\/hashtag\/RadAIchat?src=hash&amp;ref_src=twsrc%5Etfw\">#RadAIchat<\/a> <a href=\"https:\/\/t.co\/rF4Bm6Rozi\">https:\/\/t.co\/rF4Bm6Rozi<\/a><\/p>&mdash; Alexandre Cadrin-Ch\u00eanevert (@alexandrecadrin) <a href=\"https:\/\/twitter.com\/alexandrecadrin\/status\/1567676748359208966?ref_src=twsrc%5Etfw\">September 8, 2022<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>"],"_oembed_time_ab538852840f91bea42b0f7bcbe7d1bf":["1758905086"],"rank_math_analytic_object_id":["747"],"_oembed_d9932f45b871aa7e51011fc69bc88b82":["<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">Multi-institutional deidentified data sharing for training\/validation is the key to foster generalizable innovation.<br><br>Even more important for low-prevalence cancers.<br><br>When data sharing is not legally or ethically possible, federated learning is a decent alternative.<a href=\"https:\/\/twitter.com\/hashtag\/RadAIchat?src=hash&amp;ref_src=twsrc%5Etfw\">#RadAIchat<\/a> <a href=\"https:\/\/t.co\/rF4Bm6Rozi\">https:\/\/t.co\/rF4Bm6Rozi<\/a><\/p>&mdash; Alexandre Cadrin-Ch\u00eanevert (@alexandrecadrin) <a href=\"https:\/\/twitter.com\/alexandrecadrin\/status\/1567676748359208966?ref_src=twsrc%5Etfw\">September 8, 2022<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>"],"_oembed_time_d9932f45b871aa7e51011fc69bc88b82":["1763124993"],"_uag_css_file_name":["uag-css-2422.css"],"rank_math_internal_links_processed":["1"],"_uag_js_file_name":["uag-js-2422.js"]},"uagb_featured_image_src":{"full":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr.png",1600,900,false],"thumbnail":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr-150x150.png",150,150,true],"medium":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr-300x169.png",300,169,true],"medium_large":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr-768x432.png",768,432,true],"large":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr-1024x576.png",1024,576,true],"1536x1536":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr-1536x864.png",1536,864,true],"2048x2048":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr.png",1600,900,false],"gform-image-choice-sm":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr.png",300,169,false],"gform-image-choice-md":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr.png",400,225,false],"gform-image-choice-lg":["https:\/\/car.ca\/wp-content\/uploads\/2024\/08\/Dr-CC-fr.png",600,338,false]},"uagb_author_info":{"display_name":"Tenika Jones","author_link":"https:\/\/car.ca\/fr\/author\/tenika\/"},"uagb_comment_info":0,"uagb_excerpt":"L\u2019introduction des applications de l\u2019intelligence artificielle (IA) dans le domaine de la radiologie est une priorit\u00e9 importante de l\u2019Association canadienne des radiologistes (CAR), et le Dr Alexandre Cadrin-Ch\u00eanevert, membre de la CAR, s\u2019efforce de concr\u00e9tiser les possibilit\u00e9s de cette technologie en constante \u00e9volution.","_links":{"self":[{"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/posts\/2422","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/comments?post=2422"}],"version-history":[{"count":1,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/posts\/2422\/revisions"}],"predecessor-version":[{"id":2797,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/posts\/2422\/revisions\/2797"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/media\/1122"}],"wp:attachment":[{"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/media?parent=2422"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/categories?post=2422"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/tags?post=2422"},{"taxonomy":"post_topic_taxonomy","embeddable":true,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/post_topic_taxonomy?post=2422"},{"taxonomy":"post_modality_taxonomy","embeddable":true,"href":"https:\/\/car.ca\/fr\/wp-json\/wp\/v2\/post_modality_taxonomy?post=2422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}