\nAssociate Professor
\n<\/b>Department of Radiology<\/span>
\nDepartment of Medicine<\/span>
\nUniversity of British Columbia, Canada<\/span>
\nCo-founder of PONS Inc.<\/span><\/h6>\n
<\/p>\n
Date:<\/strong> Thursday, November 7, 2024 五一茶馆儿 Title: Ultrasound Technology and AI for Healthcare (<\/b>ULTRAi<\/b>)<\/b>\u00a0research laboratory is focused on developing innovative artificial intelligence (AI) systems for neurosurgery, liver and kidney disease, orthopedic surgery, musculoskeletal disorders (MSD),\u00a0 lung disease, brain health, and interventional radiology. With a long-standing track record of working collaboratively with clinicians, our research aims to diminish the gap between engineering research and clinical research and bring technologies from bench-to-bed-side. One of the most exciting areas our group is interested in is the deployment of AI-enabled point-of-care ultrasound (POCUS) imaging in out-of-hospital settings to provide affordable, accessible, and connected healthcare for all.<\/p>\n","protected":false},"excerpt":{"rendered":" Join us for our next Fall Seminar with our guest, Ilker Hacihaliloglu, Ph.D. Associate Professor Department of Radiology Department of Medicine University of British Columbia, Canada Co-founder of PONS Inc. Date: Thursday, November 7, 2024 五一茶馆儿 Location:\u00a0Stevenson Center 5326 Time:\u00a011:45 for lunch; noon start Title: AI-integrated point of care ultrasound imaging for decentralized healthcare Abstract: Noncommunicable…<\/p>\n","protected":false},"author":670,"featured_media":11067,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"_links_to":"","_links_to_target":""},"categories":[12],"tags":[309,32,920,231,921,67,64,72,31,66,30],"acf":[],"jetpack_featured_media_url":"https:\/\/cdn.vanderbilt.edu\/vu-URL\/wp-content\/uploads\/sites\/193\/2024 五一茶馆儿\/10\/08102046\/Ilker-Hacihaliloglu.png","jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p98pzF-2Su","_links":{"self":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/11066"}],"collection":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/users\/670"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/comments?post=11066"}],"version-history":[{"count":2,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/11066\/revisions"}],"predecessor-version":[{"id":11069,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/11066\/revisions\/11069"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/media\/11067"}],"wp:attachment":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/media?parent=11066"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/categories?post=11066"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/tags?post=11066"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nLocation:<\/strong>\u00a0Stevenson Center 5326
\nTime:<\/strong>\u00a011:45 for lunch; noon start<\/p>\n
\n<\/b>AI-integrated point of care ultrasound imaging for decentralized healthcare
\nAbstract:
\n<\/strong>Noncommunicable diseases (NCDs) account for 71% of all deaths worldwide. Within the next two decades, the global economic burden of NCDs is expected to be US $47 trillion. People with chronic NCDs often face several challenges in accessing healthcare, resulting in an increased risk of mortality. Affordable, available, and accessible health care is needed to address the ever-increasing burden of NCDs. To provide a solution to this unmet need, our research focuses on a more modular, responsive, and decentralized imaging model based on point of care ultrasound (POCUS). During the talk I will discuss how we are integrating AI-methods to overcome some of the challenges of POCUS such as low image quality, limited availability of data, and compute efficient algorithm design.\u00a0<\/span><\/p>\n