{"id":863,"date":"2021-11-22T00:00:00","date_gmt":"2021-11-22T00:00:00","guid":{"rendered":"https:\/\/www.lunit.io\/media-hub\/research-backs-clinical-efficacy-of-lunits-radiology-ai-products-abstracts-to-be-presented-at-rsna-2021\/"},"modified":"2021-11-22T00:00:00","modified_gmt":"2021-11-22T00:00:00","slug":"research-backs-clinical-efficacy-of-lunits-radiology-ai-products-abstracts-to-be-presented-at-rsna-2021","status":"publish","type":"media-hub","link":"https:\/\/lunit.supremeclients.com\/en\/media-hub\/research-backs-clinical-efficacy-of-lunits-radiology-ai-products-abstracts-to-be-presented-at-rsna-2021\/","title":{"rendered":"Research Backs Clinical Efficacy of Lunit's Radiology AI Products; Abstracts to be Presented at RSNA 2021"},"content":{"rendered":"<ul>\n<li>\n<p>Studies include external validation from multiple clinical sites such as Sweden Karolinska Institute, Korea\u2019s Seoul National University Hospital, and Netherlands Radboud University Hospital<\/p>\n<\/li>\n<li>\n<p>Highlighted abstracts show the diagnostic value of Lunit AI to improve the accuracy of radiologists detecting key diseases--oral presentations during the event is to be made<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<p>Lunit, a leading medical AI provider, announced that there will be 13 abstracts presented at this year\u2019s RSNA, demonstrating its AI solutions for radiology through internally conducted studies as well as clinical studies from external radiologists. The number is likely to be one of the most by any company in the industry, according to Lunit.<\/p>\n<p><\/p>\n<p><\/p>\n<p>Among the 13 abstracts, three are on Lunit\u2019s newly developed AI solution for digital breast tomosynthesis (DBT), which is the three-dimensional version of the conventional two-dimensional mammography test, rapidly becoming the main screening modality for breast cancer. In the highlight abstract selected to be presented orally, Lunit INSIGHT DBT was demonstrated to have very high accuracy, with an area under the curve (AUC) of 0.943 and sensitivity and specificity of 84.5% and 91.6%, respectively.<\/p>\n<p><\/p>\n<p><\/p><figcaption>\n<p><img decoding=\"async\" src=\"\/en\/wp-content\/uploads\/EDITOR\/1170f41a-509a-43af-a7e2-3b552b243235.jpg#1176\"><strong>Demo image of Lunit INSIGHT DBT<\/strong><\/p>\n<\/figcaption><p><\/p>\n<p><\/p>\n<p><\/p>\n<p>\u201cThis is the first time to showcase Lunit INSIGHT DBT in RSNA and we are glad to present meaningful results as the official launch is on its way,\u201d said Ki Hwan Kim, Chief Medical Officer of Lunit. \u201cThrough many years of internal validation, we believe the AI algorithm using a large dataset of DBT can improve breast cancer detection and has the potential to show consistent performance across different patient populations and mammography vendors.\u201d<\/p>\n<p><\/p>\n<p><\/p>\n<p>Five abstracts to be presented focus on Lunit\u2019s AI solution for mammography, Lunit INSIGHT MMG, an FDA cleared product for breast cancer detection. All five abstracts are external validation studies from multiple sites that highlight the value created by the use of Lunit INSIGHT MMG in clinical practice, including a study conducted in Sweden\u2019s Karolinska Institute. The study demonstrated Lunit INSIGHT MMG to have a lower false-negative rate of 1.1 cases per 1,000 compared to radiologists having a false negative rate of 1.4 cases per 1,000 among a large dataset of 113,120 screening examinations.<\/p>\n<p><\/p>\n<p><\/p>\n<p>Kim added, \u201cthe findings from the study support that AI can have an important complementary role when combined with radiologists, especially to increase sensitivity for high-density women.\u201d<\/p><figcaption>\n<p><\/p>\n<p><img decoding=\"async\" src=\"\/en\/wp-content\/uploads\/EDITOR\/7cc8670e-506e-45a2-b7da-69013a49faee.jpg#1198\"><strong>Application of Lunit INSIGHT MMG in clinical practice<\/strong><\/p>\n<\/figcaption><p><\/p>\n<p><\/p>\n<p><\/p>\n<p>An additional five abstracts on Lunit\u2019s AI solution for chest x-ray, Lunit INSIGHT CXR, will also be presented, among which four studies were results from actual clinical use in multiple sites. In a study selected for oral presentation conducted in Korea\u2019s Seoul National University Hospital, when Lunit INSIGHT CXR was used in actual clinical practice by radiologists, particularly for patients who received percutaneous transthoracic needle biopsy, the sensitivity to detect pneumothorax was shown to be 85.4%, which was significantly superior to the 67.1% sensitivity when it was not used.<\/p>\n<p><\/p>\n<p><\/p>\n<p>In another study conducted in Netherlands Radboud University Hospital, Lunit INSIGHT CXR was shown to be superior to eight radiologists in detecting lung nodules with an AUC value of 0.93 compared to 0.82.<\/p>\n<p><\/p>\n<p><\/p><figcaption>\n<p><img decoding=\"async\" src=\"\/en\/wp-content\/uploads\/EDITOR\/c5f105ec-1c27-472d-aebd-a826d48d6a47.jpg#1199\"><strong>Installed image of Lunit INSIGHT CXR<\/strong><\/p>\n<\/figcaption><p><\/p>\n<p><\/p>\n<p>\u201cWe have been demonstrating the significant value our AI technology provides through numerous studies for many years,\u201d said Brandon Suh, CEO of Lunit. \u201cMarking the sixth time at RSNA, we are glad to further add evidence from actual clinical practice that AI can significantly augment the capability of radiologists to accurately diagnose key diseases.\u201d<\/p>\n<p><\/p>\n<p><\/p>\n<p>All the series of Lunit INSIGHT products will be showcased at RSNA Lunit booth #4545. Some of the products will be available for demonstration not only at Lunit booth, but also displayed at our global partners\u2019 booths: FUJIFILM, GE Healthcare, Philips, INFINITT healthcare, and SECTRA. <\/p>\n<p><\/p>\n<p><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"template":"","media-hub-type":[36],"class_list":["post-863","media-hub","type-media-hub","status-publish","hentry","media-hub-type-cancer-screening"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Research Backs Clinical Efficacy of Lunit&#039;s Radiology AI Products; Abstracts to be Presented at RSNA 2021 - Lunit<\/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:\/\/lunit.supremeclients.com\/en\/media-hub\/research-backs-clinical-efficacy-of-lunits-radiology-ai-products-abstracts-to-be-presented-at-rsna-2021\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research Backs Clinical Efficacy of Lunit&#039;s Radiology AI Products; 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