{"id":8109,"date":"2019-02-07T06:55:52","date_gmt":"2019-02-07T06:55:52","guid":{"rendered":"http:\/\/david.foviatest.com\/?page_id=8109"},"modified":"2025-04-24T19:23:15","modified_gmt":"2025-04-24T19:23:15","slug":"company","status":"publish","type":"page","link":"https:\/\/fovia.ai\/index.php\/company\/","title":{"rendered":"<h2><center>Company<\/h2><\/center>"},"content":{"rendered":"<body>\n<div class=\"headingfont\">\n<div style=\"background-color:#b7b7b7;color:white;padding:0px;border-radius:10px;box-shadow: 5px 5px 10px 0px rgb(0,0,0,0.5);\">\n<center>The Genesis<\/center>\n<\/div><\/div>\n\n\n\n<div style=\"padding-top:20px;\">\n<p class=\"company\">Artificial intelligence is a disruptive technology, albeit one that presents challenges to physician productivity if constrained by current workflows. Fortunately, this disruption also provides opportunities to enhance workflows by using well-designed approaches that incorporate AI technology into clinical practice. We realized, as a world leader in advanced visualization for over two decades, and a preeminent provider of cloud-based SDKs, that we were well-positioned to create workflow orchestration for AI that provides efficient navigation and meaningful interaction with diverse AI results, including classification, detection, localization, segmentation and quantitative measurements. An idea began to take shape, and as a result of that idea, radiologists and clinicians will now be able to efficiently and seamlessly interact with AI-augmented radiology data using intuitive tools that help navigate, visualize, modify, annotate, accept\/reject and archive. <i>F.A.S.T. aiCockpit<\/i> bridges the gap between AI algorithms and PACS systems by providing the radiologist access to 2D and 3D visualization that is readily launched from any PACS, worklist, dictation software or hospital system. In tandem, <i>F.A.S.T. AI Annotation<\/i>, <i>F.A.S.T. AI Validation<\/i>, <i>F.A.S.T. Interactive AI<\/i> and <i>F.A.S.T. Interactive Segmentation<\/i> provide the tools to annotate, validate, interact and segment data, while seamlessly integrating into the training environment.<\/p>\n\n<p class=\"company\">To find out more about Fovia AI\u2019s parent company Fovia, Inc., visit <a href=\"https:\/\/www.fovia.com\">www.fovia.com<\/a>, where you can explore our <a href=\"https:\/\/www.fovia.com\/xstream-hdvr-product-overview\/\">products <\/a> and <a href=\"https:\/\/www.fovia.com\/advantages\/advantages-overview\/\">advantages<\/a>, as well as learn <a href=\"https:\/\/www.fovia.com\/about-us\/about-us\/\">about the company<\/a> and <a href=\"https:\/\/www.fovia.com\/about-us\/customers\/\">customers<\/a>.<\/p>\n<\/div>\n\n\n\n<div style=\"height:506px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/body>","protected":false},"excerpt":{"rendered":"<p>The Genesis Artificial intelligence is a disruptive technology, albeit one that presents challenges to physician productivity if constrained by current workflows. Fortunately, this disruption also provides opportunities to enhance workflows by using well-designed approaches that incorporate AI technology into clinical practice. We realized, as a world leader in advanced visualization for over two decades, and &hellip; <a href=\"https:\/\/fovia.ai\/index.php\/company\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\"><\/p>\n<h2><center>Company<\/h2>\n<p><\/center><\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-8109","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Fovia AI: About our company, AI results visualization, machine learning fovia ai site<\/title>\n<meta name=\"description\" content=\"Fovia AI: F.A.S.T. aiPlatform provides a vendor-neutral ecosystem that connects AI developers, PACS and hospital systems to deliver AI-driven tools to radiologists.\" 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