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</nav>  </div> <div class="l-main-wrapper"> <div class="l-main" id="page-content"> <h2 class="element-invisible">You are here</h2><div class="breadcrumb"><a href="/">Home</a> » <a href="/news-events">News & Events</a> » <a href="/news-events/news-releases">News Releases</a></div> <div class="l-region l-region--section-header"> <div id="block-block-96" class="block block--block sectionheader block--block-96" id="block-block-96" class="block block--block sectionheader block--block-96"> <div class="content" class="block__content"> <h2><a href="/news-events/news-releases">News Releases</a></h2> </div> </div> </div> <div class="l-content-wrapper"> <div class="l-content" role="main"> <a id="main-content"></a> <div about="/news-events/news-releases/nih-harnesses-ai-covid-19-diagnosis-treatment-monitoring" typeof="sioc:Item foaf:Document" class="ds-1col node node--nih-news-release news-release featured-media-floated view-mode-full node--full node--nih-news-release--full clearfix"> <p class="publishdate"><span class="tag-term">News Release</span></p><p class="publishdate"><span property="dc:date" datatype="xsd:dateTime" content="2020-08-05T12:00:00-04:00" class="date-display-single">Wednesday, August 5, 2020</span></p><h1>NIH harnesses AI for COVID-19 diagnosis, treatment, and monitoring</h1><p class="subtitle"> Collaborative network to enlist medical imaging and clinical data sciences to reveal unique features of COVID-19.</p><div class="featured-media"><div class="ds-1col file file-image file-image-jpeg view-mode-featured_media clearfix"> <picture title="Image of a lung CT s">  <source srcset="https://www.nih.gov/sites/default/files/styles/featured_media_breakpoint-large-extra/public/news-events/news-releases/2020/20200805-covid-lungs.jpg?itok=9pOnqQ6U&timestamp=1596642785 1x" media="screen and (min-width: 1100px)" /> <source srcset="https://www.nih.gov/sites/default/files/styles/featured_media_breakpoint-large/public/news-events/news-releases/2020/20200805-covid-lungs.jpg?itok=NhvOadPN&timestamp=1596642785 1x" media="screen and (min-width: 960px)" /> <source srcset="https://www.nih.gov/sites/default/files/styles/featured_media_breakpoint-medium/public/news-events/news-releases/2020/20200805-covid-lungs.jpg?itok=QpIb3KwC&timestamp=1596642785 1x" media="screen and (min-width: 800px)" /> <source srcset="https://www.nih.gov/sites/default/files/styles/featured_media_breakpoint-medium-small/public/news-events/news-releases/2020/20200805-covid-lungs.jpg?itok=KfxTbK5U&timestamp=1596642785 1x" media="screen and (min-width: 600px)" /> <source srcset="https://www.nih.gov/sites/default/files/styles/featured_media_breakpoint-small/public/news-events/news-releases/2020/20200805-covid-lungs.jpg?itok=F1h6TY3_&timestamp=1596642785 1x" media="screen and (min-width: 480px)" /> <source srcset="https://www.nih.gov/sites/default/files/styles/featured_media__breakpoint-tiny_/public/news-events/news-releases/2020/20200805-covid-lungs.jpg?itok=LXzQQjnP&timestamp=1596642785 1x" media="screen and (min-width: 0)" />  <img src="https://www.nih.gov/sites/default/files/styles/featured_media_breakpoint-medium/public/news-events/news-releases/2020/20200805-covid-lungs.jpg?itok=QpIb3KwC&timestamp=1596642785" alt="Image of a lung CT s" title="Image of a lung CT s" /> </picture><span class="caption">CT scan of lungs of COVID-19 patient with areas described by radiologists as resembling grains of ground glass.</span><span class="credit">RSNA</span></div> </div><p>The National Institutes of Health has launched the Medical Imaging and Data Resource Center (MIDRC), an ambitious effort that will harness the power of artificial intelligence and medical imaging to fight COVID-19. The multi-institutional collaboration, led by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), part of NIH, will create new tools that physicians can use for early detection and personalized therapies for COVID-19 patients.</p> <p>“This program is particularly exciting because it will give us new ways to rapidly turn scientific findings into practical imaging tools that benefit COVID-19 patients,” said Bruce J. Tromberg, Ph.D., NIBIB Director. “It unites leaders in medical imaging and artificial intelligence from academia, professional societies, industry, and government to take on this important challenge.”</p> <p>The features of infected lungs and hearts seen on medical images can help assess disease severity, predict response to treatment, and improve patient outcomes. However, a major challenge is to rapidly and accurately identify these signatures and evaluate this information in combination with many other clinical symptoms and tests. The MIDRC goals are to lead the development and implementation of new diagnostics, including machine learning algorithms, that will allow rapid and accurate assessment of disease status and help physicians optimize patient treatment.</p> <p>“This effort will gather a large repository of COVID-19 chest images,” explained Guoying Liu, Ph.D., the NIBIB scientific program lead on this effort, “allowing researchers to evaluate both lung and cardiac tissue data, ask critical research questions, and develop predictive COVID-19 imaging signatures that can be delivered to healthcare providers.”</p> <p>Maryellen L. Giger, PhD, the A.N. Pritzker Professor of Radiology, Committee on Medical Physics at the University of Chicago, is leading the effort, which includes co-Investigators Etta Pisano, MD, and Michael Tilkin, MS, from the American College of Radiology (ACR), Curtis Langlotz, MD, PhD, and Adam Flanders, MD, representing the Radiological Society of North America (RSNA), and Paul Kinahan, PhD, from the American Association of Physicists in Medicine (AAPM).</p> <p>“This major initiative responds to the international imaging community’s expressed unmet need for a secure technological network to enable the development and ethical application of artificial intelligence to make the best medical decisions for COVID-19 patients,” added Krishna Kandarpa, M.D., Ph.D., director of research sciences and strategic directions at NIBIB. “Eventually, the approaches developed could benefit other conditions as well.”</p> <p>The MIDRC will facilitate rapid and flexible collection, analysis, and dissemination of imaging and associated clinical data. Collaboration among the ACR, RSNA, and AAPM is based on each organization’s unique and complementary expertise within the medical imaging community, and each organization’s dedication to imaging data quality, security, access, and sustainability.</p> <p><strong>About the National Institute of Biomedical Imaging and Bioengineering (NIBIB):</strong> NIBIB’s mission is to improve health by leading the development and accelerating the application of biomedical technologies. The Institute is committed to integrating engineering and physical science with biology and medicine to advance our understanding of disease and its prevention, detection, diagnosis, and treatment. NIBIB supports emerging technology research and development within its internal laboratories and through grants, collaborations, and training. More information is available at the NIBIB website <a href="https://www.nibib.nih.gov/" rel="noopener noreferrer" target="_blank">https://www.nibib.nih.gov</a>.</p><p><strong>About the National Institutes of Health (NIH):</strong> NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. 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