{"id":10011,"date":"2024-07-18T07:11:02","date_gmt":"2024-07-18T12:11:02","guid":{"rendered":"https:\/\/ibio.org\/?p=10011"},"modified":"2024-07-18T07:11:02","modified_gmt":"2024-07-18T12:11:02","slug":"ge-healthcare-to-acquire-intelligent-ultrasounds-ai-business-for-51-million","status":"publish","type":"post","link":"https:\/\/ibio.org\/ge-healthcare-to-acquire-intelligent-ultrasounds-ai-business-for-51-million\/","title":{"rendered":"GE HealthCare to Acquire Intelligent Ultrasound&#8217;s AI Business for $51 Million"},"content":{"rendered":"<p>GE HealthCare announced today that it has entered into an agreement to acquire the clinical artificial intelligence (AI) software business of Intelligent Ultrasound Group PLC for approximately $51 million. The acquisition aims to integrate innovative AI-driven image analysis tools into GE HealthCare&#8217;s ultrasound portfolio, with a focus on improving workflow efficiency and ease of use for clinicians.<\/p>\n<p>The deal will bring Intelligent Ultrasound&#8217;s ScanNav Assist AI technology under GE HealthCare&#8217;s umbrella. This technology powers the SonoLyst suite of tools, which are already available on several of GE HealthCare&#8217;s Voluson ultrasound devices. By acquiring this business, GE HealthCare also gains access to Intelligent Ultrasound&#8217;s AI innovation pipeline and team of research and development experts.<\/p>\n<p>Phil Rackliffe, president and CEO of Ultrasound and Image Guided Therapies at GE HealthCare, expressed enthusiasm about the acquisition, stating, &#8220;This technology and the experts who developed it will help enhance our portfolio of AI-enabled devices and accelerate our pace of development of next-generation AI tools.&#8221;<\/p>\n<p>The move comes at a crucial time for the medical imaging industry, which is facing significant challenges. Hospitals are reporting widespread shortages of radiology technologists, while sonographers are experiencing high rates of work-related musculoskeletal disorders due to their demanding workload. AI-enabled protocols and streamlined workflows could help address these issues by reducing manual processes and improving reproducibility between users.<\/p>\n<p>This acquisition aligns with GE HealthCare&#8217;s broader strategy of developing AI-enabled devices to improve clinical care workflows and patient care quality. It follows the company&#8217;s 2023 acquisition of Caption Health, which added capabilities in AI-enabled image guidance for early disease detection.<\/p>\n<p>The transaction is expected to close in Q4 2024, subject to customary closing conditions. GE HealthCare plans to fund the acquisition with cash on hand.<\/p>\n<p>For Intelligent Ultrasound, the sale of its clinical AI business will allow the company to focus on its ultrasound simulation technology for education and training purposes.<\/p>\n<p>As the healthcare industry continues to grapple with staffing shortages and increasing exam complexity, the integration of AI into medical imaging equipment promises to play a crucial role in supporting clinicians and improving patient care.<\/p>\n<p><a href=\"https:\/\/www.businesswire.com\/news\/home\/20240717580041\/en\/GE-HealthCare-announces-agreement-to-acquire-clinical-artificial-intelligence-business-from-Intelligent-Ultrasound\">Read the press release<\/a><\/p>\n<p>\u2014<\/p>\n<p class=\"p1\"><strong><span class=\"s1\">This article was originally published on iBIO NewsBrief. Gain a head start on your day with iBIO NewsBrief. <a href=\"https:\/\/ibio.us7.list-manage.com\/subscribe?u=a0fd09c9e45e428f2a624cd5f&amp;id=0ecbf8c475\">Subscribe<\/a> to receive top industry headlines delivered straight to your inbox.<\/span><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GE HealthCare announced today that it has entered into an agreement to acquire the clinical artificial intelligence (AI) software business of Intelligent Ultrasound Group PLC for approximately $51 million. The acquisition aims to integrate innovative AI-driven image analysis tools into GE HealthCare&#8217;s ultrasound portfolio, with a focus on improving workflow efficiency and ease of use [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":10013,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[526],"tags":[607,262,568,121,608],"class_list":["post-10011","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-newsbrief","tag-aquistion","tag-chicago","tag-ge-healthcare","tag-illinois","tag-ultrasound"],"_links":{"self":[{"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/posts\/10011","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/comments?post=10011"}],"version-history":[{"count":1,"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/posts\/10011\/revisions"}],"predecessor-version":[{"id":10012,"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/posts\/10011\/revisions\/10012"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/media\/10013"}],"wp:attachment":[{"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/media?parent=10011"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/categories?post=10011"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ibio.org\/wp-json\/wp\/v2\/tags?post=10011"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}