{"id":7839,"date":"2026-01-06T12:31:07","date_gmt":"2026-01-06T12:31:07","guid":{"rendered":"https:\/\/www.ihu-liryc.fr\/beat-ai-can-you-beat-ai-at-reading-a-cardiac-mri\/"},"modified":"2026-01-06T13:05:13","modified_gmt":"2026-01-06T13:05:13","slug":"beat-ai-can-you-beat-ai-at-reading-a-cardiac-mri","status":"publish","type":"post","link":"https:\/\/www.ihu-liryc.fr\/en\/beat-ai-can-you-beat-ai-at-reading-a-cardiac-mri\/","title":{"rendered":"BEAT-AI : Can you beat artificial intelligence at reading a cardiac MRI ?"},"content":{"rendered":"\n<p>Developed by the SMHEART project team, led by Professor Aur\u00e9lien Bustin, Beat AI is an interactive video game in which participants detect and draw the contours of the left ventricle on cardiac MRI images of real patients. <\/p>\n<smartfire-component name='spacer' attributes=\"{&quot;height&quot;:20,&quot;laptopHeight&quot;:20,&quot;tabletHeight&quot;:20,&quot;mobileHeight&quot;:20}\"><\/smartfire-component>\n<p>At the same time, an AI algorithm performs the same task, and the results are compared to the annotations of radiology experts using quantitative measures such as the Dice similarity coefficient. <\/p>\n<smartfire-component name='spacer' attributes=\"{&quot;height&quot;:20,&quot;laptopHeight&quot;:20,&quot;tabletHeight&quot;:20,&quot;mobileHeight&quot;:20}\"><\/smartfire-component>\n<p>Participants receive immediate feedback on their speed and accuracy, as well as a daily ranking, which boosts their motivation and curiosity.<\/p>\n<smartfire-component name='spacer' attributes=\"{&quot;height&quot;:20,&quot;laptopHeight&quot;:20,&quot;tabletHeight&quot;:20,&quot;mobileHeight&quot;:20}\"><\/smartfire-component>\n<h2 class=\"wp-block-heading\">What&#8217;s the goal ?<\/h2>\n\n<ul class=\"wp-block-list\">\n<li> Improve public understanding and acceptance of artificial intelligence (AI) in medical imaging.<\/li>\n\n\n\n<li>Empower patients and citizens by actively involving them in a meaningful research task.<\/li>\n\n\n\n<li>Establish a genuine two-way engagement model, in which public participation would not only increase awareness but also generate scientifically valuable outcomes.<\/li>\n\n\n\n<li>Finally, in the clinical context, we aimed to reduce patient anxiety prior to MRI examinations.<\/li>\n<\/ul>\n<smartfire-component name='spacer' attributes=\"{&quot;height&quot;:20,&quot;laptopHeight&quot;:20,&quot;tabletHeight&quot;:20,&quot;mobileHeight&quot;:20}\"><\/smartfire-component>\n<h2 class=\"wp-block-heading\">An immediate connection<\/h2>\n<smartfire-component name='spacer' attributes=\"{&quot;height&quot;:20,&quot;laptopHeight&quot;:20,&quot;tabletHeight&quot;:20,&quot;mobileHeight&quot;:20}\"><\/smartfire-component>\n<p>The Beat AI video game has already been deployed at numerous events dedicated to scientific mediation and has been a resounding success. You may have seen it at:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>In schools: High school, Middle school, and University of Marmande, Villeuneuve sur Lot, Bordeaux<\/li>\n\n\n\n<li>In museums: Cap Sciences, Village des Sciences, Research Night<\/li>\n\n\n\n<li>In the waiting rooms of Bordeaux University Hospital<\/li>\n\n\n\n<li>And other public events such as the IHU Liryc Open House, events organized by the French Cardiology Federation, the Choquez-nous association, or during the Cardiac Imaging Festival.<\/li>\n<\/ul>\n<smartfire-component name='spacer' attributes=\"{&quot;height&quot;:20,&quot;laptopHeight&quot;:20,&quot;tabletHeight&quot;:20,&quot;mobileHeight&quot;:20}\"><\/smartfire-component>\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"684\" data-id=\"7817\" 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decoding=\"async\" width=\"1024\" height=\"948\" data-id=\"7821\" src=\"https:\/\/www.ihu-liryc.fr\/wp-content\/uploads\/2026\/01\/Sketch_2-1024x948.jpeg\" alt=\"\" class=\"wp-image-7821\" srcset=\"https:\/\/www.ihu-liryc.fr\/wp-content\/uploads\/2026\/01\/Sketch_2-1024x948.jpeg 1024w, https:\/\/www.ihu-liryc.fr\/wp-content\/uploads\/2026\/01\/Sketch_2-300x278.jpeg 300w, https:\/\/www.ihu-liryc.fr\/wp-content\/uploads\/2026\/01\/Sketch_2-768x711.jpeg 768w, https:\/\/www.ihu-liryc.fr\/wp-content\/uploads\/2026\/01\/Sketch_2-1536x1423.jpeg 1536w, https:\/\/www.ihu-liryc.fr\/wp-content\/uploads\/2026\/01\/Sketch_2-2048x1897.jpeg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/figure>\n<smartfire-component name='spacer' attributes=\"{&quot;height&quot;:20,&quot;laptopHeight&quot;:20,&quot;tabletHeight&quot;:20,&quot;mobileHeight&quot;:20}\"><\/smartfire-component>\n<h2 class=\"wp-block-heading\">Discover Beat AI in video<\/h2>\n<smartfire-component name='spacer' 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by the SMHEART project team, led by Professor Aur\u00e9lien Bustin, Beat AI is an interactive video game in which participants detect and draw the contours of the left ventricle on cardiac MRI images of real patients. At the same time, an AI algorithm performs the same task, and the results are compared to the [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":7819,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-7839","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>BEAT-AI : Can you beat artificial intelligence at reading a cardiac MRI ? - IHU Liryc<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ihu-liryc.fr\/en\/beat-ai-can-you-beat-ai-at-reading-a-cardiac-mri\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"BEAT-AI : Can you beat artificial intelligence at reading a cardiac MRI ? - IHU Liryc\" \/>\n<meta property=\"og:description\" content=\"Developed by the SMHEART project team, led by Professor Aur\u00e9lien Bustin, Beat AI is an interactive video game in which participants detect and draw the contours of the left ventricle on cardiac MRI images of real patients. 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