{"id":50546,"date":"2021-09-09T10:40:13","date_gmt":"2021-09-09T08:40:13","guid":{"rendered":"https:\/\/smarthealth.live\/?p=50546"},"modified":"2021-09-09T10:51:12","modified_gmt":"2021-09-09T08:51:12","slug":"letz-limite-les-diagnostics-errones-de-fracture-osseuse-grace-a-lia","status":"publish","type":"post","link":"https:\/\/smarthealth.live\/fr\/2021\/09\/09\/letz-limite-les-diagnostics-errones-de-fracture-osseuse-grace-a-lia\/","title":{"rendered":"L'ETZ limite les diagnostics erron\u00e9s de fracture osseuse gr\u00e2ce \u00e0 l'IA"},"content":{"rendered":"

L'h\u00f4pital Elisabeth-TweeSteden (ETZ)<\/a> de Tilburg va exp\u00e9rimenter l'intelligence artificielle pour d\u00e9tecter les fractures osseuses. Il va donc utiliser le programme informatique BoneView qui analyse les radiographies en moins de trois minutes. Selon l\u2019\u00e9tablissement de soins, le logiciel est capable de lire avec pr\u00e9cision les imageries m\u00e9dicales. L'ETZ esp\u00e8re ainsi que cet essai permettra aux techniciens des laboratoires de radiologie, aux radiologues et aux autres sp\u00e9cialistes d\u2019avoir une meilleure visibilit\u00e9 de la fiabilit\u00e9 de l'algorithme.<\/strong><\/p>\n

Le d\u00e9roul\u00e9 est simple est rapide : les radiographies sont t\u00e9l\u00e9charg\u00e9es sur un serveur o\u00f9 l'algorithme est install\u00e9. L\u2019analyse de l\u2019imagerie m\u00e9dicale peut alors commencer. Le programme indique \u00ab fracture \u00bb, \u00ab pas de fracture \u00bb ou \u00ab doute \u00bb. Visuellement, il trace une ligne pleine lorsqu\u2019il d\u00e9tecte un os cass\u00e9 et lorsqu\u2019il n\u2019est pas s\u00fbr, il place une ligne en pointill\u00e9 \u00e0 l'endroit o\u00f9 une fracture osseuse est suspect\u00e9e. Un radiologue doit alors prendre le relais afin de proc\u00e9der \u00e0 des examens compl\u00e9mentaires.<\/p>\n

Succ\u00e8s de la phase de test<\/h3>\n

L'ETZ est le premier h\u00f4pital \u00e0 utiliser cet algorithme et compte tester son efficacit\u00e9 durant environ trois mois. Le programme informatique a d\u00e9j\u00e0 subi une premi\u00e8re phase de tests durant laquelle il a analys\u00e9 environ 600 radiographies. L'algorithme a ainsi d\u00e9tect\u00e9 7 fractures osseuses que les sp\u00e9cialistes n'avaient pas pu vu \u00e0 l'\u0153il nu. En revanche, BoneView a manqu\u00e9 3 fractures diagnostiqu\u00e9es par les sp\u00e9cialistes. Si les r\u00e9sultats de la phase de test sont r\u00e9ellement fiables et repr\u00e9sentatifs, le radiologue Erik Ranschaert de l'ETZ estime que BoneView pourra retracer quelque 360 \u00e0 370 fractures manqu\u00e9es par an. Selon lui, il s'agit d'un nombre consid\u00e9rable.<\/p>\n

M\u00eame si le syst\u00e8me est d\u00e9ploy\u00e9 \u00e0 l\u2019ETZ, le radiologue reste celui qui fera l\u2019\u00e9valuation finale. BoneView est ainsi consid\u00e9r\u00e9 comme une aide, mais ne remplacera pas l'expertise humaine. Selon le radiologue Erik Ranschaert, il serait utopique de penser qu'une telle technique va compl\u00e8tement remplacer l\u2019analyse d\u2019un sp\u00e9cialiste. \u00ab L\u2019\u00e9valuation finale des clich\u00e9s radiographiques reste une t\u00e2che importante du radiologue, qui en est le responsable ultime. La s\u00e9curit\u00e9 des patients doit \u00eatre garantie \u00e0 tout moment.<\/em> \u00bb Cela \u00e9tant dit, il reste tout de m\u00eame tr\u00e8s positif quant aux r\u00e9sultats. Outre les radiologues, les techniciens de laboratoire, les m\u00e9decins urgentistes, les chirurgiens et les orthop\u00e9distes apprendront \u00e9galement \u00e0 utiliser la technologie de l'IA.<\/p>\n

L'IA en plein essor<\/h3>\n

Plusieurs \u00e9l\u00e8ves de la Fontys Paramedic Hogeschool d'Eindhoven \u00e9tudient l'influence de l'IA sur le processus de travail des radiologues durant cette p\u00e9riode pilote. Leurs \u00e9valuations seront ensuite d\u00e9crites dans le projet de fin d'\u00e9tudes \u00ab Mise en \u0153uvre de l'IA - pilote BoneView - au d\u00e9partement de radiologie<\/em> \u00bb.<\/p>\n

Ce n'est pas la seule initiative de l'ETZ dans le domaine de l'intelligence artificielle. L'h\u00f4pital a d\u00e9j\u00e0 introduit le \u00ab End User Group
\nAI<\/em> \u00bb. Le projet regroupe des scientifiques qui sont responsables de la formation et de l'enregistrement des connaissances et de l'expertise en mati\u00e8re d'IA. Leurs missions sont vari\u00e9es : ils recherchent activement des partenariats externes, ils aident les professionnels de la sant\u00e9 avec des id\u00e9es d'IA, ils testent les applications propos\u00e9es et ils sont aussi impliqu\u00e9s dans les exigences d'une infrastructure d'IA \u00e9quip\u00e9e.<\/p>\n

Un innovation fran\u00e7aise<\/h3>\n

BoneView a \u00e9t\u00e9 d\u00e9velopp\u00e9 par la soci\u00e9t\u00e9 fran\u00e7aise Gleamer<\/a>, dont le si\u00e8ge est bas\u00e9 \u00e0 Paris. Le logiciel a \u00e9t\u00e9 con\u00e7u pour d\u00e9tecter les fractures, les contusions, les luxations et les l\u00e9sions osseuses via les radiographiques. L'entreprise fran\u00e7aise affirme que ce programme r\u00e9duit de 30 % le nombre de faux n\u00e9gatifs (fractures manqu\u00e9es), tout en diminuant le temps de lecture. Des chiffres prometteurs qui sont issus d\u2019\u00e9tudes publi\u00e9es plus t\u00f4t cette ann\u00e9e (Duron et. al, Radiology 2021 et Omoumi et. al, European Radiology).<\/p>\n

Dans un premier temps, le programme informatique a \u00e9t\u00e9 test\u00e9 par des radiologues fran\u00e7ais. Le Docteur Sandrine Gaudart, radiologue \u00e0 la Radiologie 92 du Sud-Ouest Parisien, a r\u00e9cemment indiqu\u00e9 que BoneView est utile pour d\u00e9celer des fractures subtiles dans des endroits difficiles \u00e0 voir. Il limite le risque d\u2019\u00e9valuer une radiographie trop rapidement, comme c\u2019est souvent le cas lorsque les sp\u00e9cialistes manquent de temps. En outre, il aide les radiologues qui, parfois, posent des diagnostics erron\u00e9s par fatigue ou perte de concentration.<\/p>\n","protected":false},"excerpt":{"rendered":"

La phase de test a montr\u00e9 qu'un algorithme \u00e9tait capable de d\u00e9tecter des fractures que les m\u00e9decins ne pouvaient pas voir \u00e0 l'\u0153il nu.<\/p>\n","protected":false},"author":42,"featured_media":50522,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4615,4601,4652],"tags":[4610,5049,5030,5052,5047,5048,5051,4612,5050],"class_list":["post-50546","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-diagnostics","category-intelligence-artificielle","category-nouvelles","tag-artificial-intelligence-fr","tag-boneview","tag-diagnostic","tag-etz-fr","tag-fracture","tag-imagerie-medicale","tag-os","tag-radiologie-fr","tag-radiologue"],"acf":[],"yoast_head":"\nL'ETZ limite les diagnostics erron\u00e9s de fracture osseuse gr\u00e2ce \u00e0 l'IA - Smarthealth<\/title>\n<meta name=\"description\" content=\"La phase de test a 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