{"id":258,"date":"2019-10-25T07:00:47","date_gmt":"2019-10-25T06:00:47","guid":{"rendered":"https:\/\/journals.myesr.org\/eur-radiol-exp\/2019\/10\/25\/big-data-artificial-intelligence-and-structured-reporting\/"},"modified":"2025-10-22T13:04:36","modified_gmt":"2025-10-22T12:04:36","slug":"big-data-artificial-intelligence-and-structured-reporting","status":"publish","type":"post","link":"https:\/\/journals.myesr.org\/eur-radiol-exp\/blog\/big-data-artificial-intelligence-and-structured-reporting\/","title":{"rendered":"Big data, artificial intelligence, and structured reporting"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter  wp-image-1296\" src=\"https:\/\/journals.myesr.org\/eur-radiol-exp\/wp-content\/uploads\/sites\/4\/2025\/10\/Article-4-Sept-HL.jpg\" alt=\"\" width=\"621\" height=\"304\" \/><\/p>\n<p>Applications of artificial intelligence and machine learning in radiology require large amounts of training data. However, finding relevant information is difficult. This review gives a brief overview on how structured reporting can help facilitate research in artificial intelligence and the context of big data.<\/p>\n<p><strong>Article:<\/strong> <a href=\"https:\/\/eurradiolexp.springeropen.com\/articles\/10.1186\/s41747-018-0071-4\" target=\"_blank\" rel=\"noopener noreferrer\">Big data, artificial intelligence, and structured reporting<\/a><\/p>\n<p><strong>Authors:<\/strong> Daniel Pinto dos Santos, Bettina Bae\u00dfler<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Applications of artificial intelligence and machine learning in radiology require large amounts of training data. However, finding relevant information is difficult. This review gives a brief overview on how structured reporting can help facilitate research in artificial intelligence and the context of big data. Article: Big data, artificial intelligence, and structured reporting Authors: Daniel Pinto [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":27,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Big data, artificial intelligence, and structured reporting - European Radiology Experimental<\/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:\/\/journals.myesr.org\/eur-radiol-exp\/blog\/big-data-artificial-intelligence-and-structured-reporting\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big data, artificial intelligence, and structured reporting - European Radiology Experimental\" \/>\n<meta property=\"og:description\" content=\"Applications of artificial intelligence and machine learning in radiology require large amounts of training data. 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