{"id":32510,"date":"2025-04-04T09:22:05","date_gmt":"2025-04-04T07:22:05","guid":{"rendered":"https:\/\/ggba.swiss\/ai-tool-developed-in-bern-improves-detection-of-rare-coronary-anomalies\/"},"modified":"2025-04-04T09:27:28","modified_gmt":"2025-04-04T07:27:28","slug":"un-outil-dia-developpe-a-berne-ameliore-la-detection-des-anomalies-coronariennes-rares","status":"publish","type":"post","link":"https:\/\/ggba.swiss\/fr\/un-outil-dia-developpe-a-berne-ameliore-la-detection-des-anomalies-coronariennes-rares\/","title":{"rendered":"Un outil d’IA d\u00e9velopp\u00e9 \u00e0 Berne am\u00e9liore la d\u00e9tection des anomalies coronariennes rares"},"content":{"rendered":"\n

Une \u00e9quipe de recherche de l’H\u00f4pital universitaire de Berne<\/a> et de l’Universit\u00e9 de Berne<\/a> a mis au point un outil d’intelligence artificielle (IA) capable de d\u00e9tecter et de classer les anomalies rares des art\u00e8res coronaires dans les tomodensitogrammes cardiaques. Cette innovation pourrait am\u00e9liorer consid\u00e9rablement le diagnostic et les d\u00e9cisions th\u00e9rapeutiques pour les maladies cardiaques rares, en particulier chez les jeunes patients.<\/p>\n\n\n\n

L’origine aortique anormale d’une art\u00e8re coronaire (AAOCA)<\/a> est une anomalie cong\u00e9nitale difficile \u00e0 d\u00e9tecter, mais qui peut entra\u00eener une mort cardiaque subite, en particulier chez les jeunes individus physiquement actifs. Ces anomalies sont rares et souvent mal interpr\u00e9t\u00e9es, des \u00e9tudes attribuant jusqu’\u00e0 30 % des d\u00e9c\u00e8s inattendus chez les jeunes athl\u00e8tes \u00e0 des anomalies coronaires non d\u00e9tect\u00e9es.<\/p>\n\n\n\n

L’outil d’IA, d\u00e9velopp\u00e9 par une \u00e9quipe dirig\u00e9e par le professeur Christoph Gr\u00e4ni, directeur du d\u00e9partement d’imagerie cardiaque de l’Inselspital<\/a>, et le docteur Isaac Shiri, responsable de la recherche en IA en m\u00e9decine cardiovasculaire, utilise un algorithme d’apprentissage profond en deux \u00e9tapes. Tout d’abord, il effectue une segmentation des images pour isoler les art\u00e8res coronaires. Il classe ensuite les images pour d\u00e9tecter la pr\u00e9sence et l’origine d’une anomalie. Le syst\u00e8me a \u00e9t\u00e9 entra\u00een\u00e9 sur plus de 4’000 tomodensitogrammes cardiaques et valid\u00e9 avec des ensembles de donn\u00e9es externes, dont un provenant de l’h\u00f4pital universitaire de Zurich.<\/p>\n\n\n\n

Impact clinique et orientations futures de l’IA en cardiologie<\/h4>\n\n\n\n

Selon l’\u00e9quipe, l’algorithme a fait preuve d’une grande pr\u00e9cision, identifiant avec succ\u00e8s des cas limites qui faisaient m\u00eame d\u00e9bat parmi les experts. L’outil peut soutenir la prise de d\u00e9cision clinique en fournissant des alertes en temps r\u00e9el pour les anomalies \u00e0 haut risque et permet aux chercheurs d’\u00e9tudier plus efficacement de grands ensembles de donn\u00e9es d’imagerie.<\/p>\n\n\n\n

Ce projet refl\u00e8te la collaboration croissante entre l’Inselspital et l’Universit\u00e9 de Berne dans le domaine de la m\u00e9decine num\u00e9rique. Les d\u00e9veloppements futurs comprennent la cr\u00e9ation d’un jumeau num\u00e9rique des anomalies coronariennes en partenariat avec le centre ARTORG<\/a> et le laboratoire de cath\u00e9t\u00e9risme cardiaque de l’Inselspital. L’objectif est de simuler des sc\u00e9narios de stress en dehors du corps, ce qui pourrait r\u00e9duire le besoin de tests invasifs.<\/p>\n\n\n\n

L’\u00e9tude a \u00e9t\u00e9 publi\u00e9e dans la revue Nature Communications<\/em><\/a> et met en \u00e9vidence le leadership de Berne dans l’application de l’IA pour am\u00e9liorer le diagnostic cardiaque.<\/p>\n","protected":false},"excerpt":{"rendered":"

Des chercheurs bernois ont mis au point un outil bas\u00e9 sur l’IA qui d\u00e9tecte avec une grande pr\u00e9cision les anomalies rares des art\u00e8res coronaires dans les images de tomodensitom\u00e9trie cardiaque, ce qui pourrait transformer le diagnostic en cardiologie.<\/p>\n","protected":false},"author":6,"featured_media":32507,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"mc4wp_mailchimp_campaign":[],"footnotes":""},"categories":[843],"tags":[1179,1180,1152,1162,1188],"class_list":["post-32510","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sciences-de-la-vie","tag-artificial-intelligence-fr-2","tag-digital-health-fr-2","tag-digital-transformation-fr","tag-education-en-fr","tag-healthcare-fr-2"],"acf":[],"yoast_head":"\nUn outil d\u00e9velopp\u00e9 \u00e0 Berne d\u00e9tecte des anomalies coronariennes<\/title>\n<meta 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