{"id":9215,"date":"2023-01-23T22:24:31","date_gmt":"2023-01-23T22:24:31","guid":{"rendered":"https:\/\/angionautix.com\/?p=9215"},"modified":"2023-02-27T13:45:36","modified_gmt":"2023-02-27T13:45:36","slug":"solucion-de-ia-para-mamografia-lunitmmg","status":"publish","type":"post","link":"https:\/\/angionautix.com\/en\/solucion-de-ia-para-mamografia-lunitmmg\/","title":{"rendered":"AI Solution for Mammography LunitMMG"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lbvawp8k-cc339f82284a9c677948871dbc067f58\">\n.avia-section.av-lbvawp8k-cc339f82284a9c677948871dbc067f58{\nbackground-color:#000000;\nbackground-image:url(https:\/\/angionautix.com\/wp-content\/uploads\/2023\/01\/Lunit_mama_detacado.jpg);\nbackground-repeat:no-repeat;\nbackground-position:50% 50%;\nbackground-attachment:scroll;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-lbvawp8k-cc339f82284a9c677948871dbc067f58 main_color avia-section-default avia-no-border-styling  avia-builder-el-0  el_before_av_heading  avia-builder-el-first  avia-bg-style-scroll av-minimum-height av-minimum-height-custom av-height-custom  container_wrap sidebar_right'  data-section-bg-repeat='no-repeat' data-av_minimum_height_px='330'><div class='container av-section-cont-open' style='height:330px'><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-9215'><div class='entry-content-wrapper clearfix'><\/div><\/div><\/main><!-- close content main element --><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-9215'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lbvay3lh-2240a80b8d27b1784c42e7fbc56481ec\">\n#top .av-special-heading.av-lbvay3lh-2240a80b8d27b1784c42e7fbc56481ec{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-lbvay3lh-2240a80b8d27b1784c42e7fbc56481ec .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-lbvay3lh-2240a80b8d27b1784c42e7fbc56481ec .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-lbvay3lh-2240a80b8d27b1784c42e7fbc56481ec av-special-heading-h2  avia-builder-el-1  el_after_av_section  el_before_av_hr  avia-builder-el-first '><h2 class='av-special-heading-tag '  itemprop=\"headline\"  >Soluci\u00f3n de IA para mamograf\u00eda LunitMMG<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-le03oc-1d38dc918d6cb53e2f791c157b6933e0\">\n#top .hr.hr-invisible.av-le03oc-1d38dc918d6cb53e2f791c157b6933e0{\nheight:30px;\n}\n<\/style>\n<div  class='hr av-le03oc-1d38dc918d6cb53e2f791c157b6933e0 hr-invisible  avia-builder-el-2  el_after_av_heading  el_before_av_one_full '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1vg6f0-2200ad3a693dfccde4b8e3580bf42787\">\n.flex_column.av-1vg6f0-2200ad3a693dfccde4b8e3580bf42787{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-1vg6f0-2200ad3a693dfccde4b8e3580bf42787 av_one_full  avia-builder-el-3  el_after_av_hr  el_before_av_hr  first flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lbvaze89-d9913110598a58249a4eef77985c5c3a\">\n#top .av_textblock_section.av-lbvaze89-d9913110598a58249a4eef77985c5c3a .avia_textblock{\ncolor:#000000;\n}\n<\/style>\n<section  class='av_textblock_section av-lbvaze89-d9913110598a58249a4eef77985c5c3a '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p style=\"font-weight: 400;\"><strong>Lunit INSIGHT MMG detects breast cancer on mammograms with 96% accuracy.<\/strong><\/p>\n<\/div><\/section><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-66gjw-fb0215a1ce087f619d8329b304250c37\">\n#top .hr.hr-invisible.av-66gjw-fb0215a1ce087f619d8329b304250c37{\nheight:20px;\n}\n<\/style>\n<div  class='hr av-66gjw-fb0215a1ce087f619d8329b304250c37 hr-invisible  avia-builder-el-5  el_after_av_one_full  el_before_av_two_third '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-gg34z0-a121bd238ec280695a0d97ab6de88e1a\">\n.flex_column.av-gg34z0-a121bd238ec280695a0d97ab6de88e1a{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-gg34z0-a121bd238ec280695a0d97ab6de88e1a av_two_third  avia-builder-el-6  el_after_av_hr  el_before_av_one_third  first flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lbvb151n-62ef6f31056c8b1a10f76b6d9c3cf453\">\n#top .av_textblock_section.av-lbvb151n-62ef6f31056c8b1a10f76b6d9c3cf453 .avia_textblock{\ncolor:#000000;\n}\n<\/style>\n<section  class='av_textblock_section av-lbvb151n-62ef6f31056c8b1a10f76b6d9c3cf453 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p style=\"font-weight: 400;\">Detected Location:\u00a0The location information of detected breast cancer in the form of heatmap and outlines<\/p>\n<p style=\"font-weight: 400;\">Abnormality Score:\u00a0An abnormality score for each side of the breast, which reflects the AI\u2019s calculation of the actual presence of the detected breast cancer<\/p>\n<p style=\"font-weight: 400;\">Density Assessment:\u00a0Assessment of breast density, categorized into four types<\/p>\n<h3 style=\"font-weight: 400;\"><span style=\"color: #ff0000;\">What are the major benefits of using it?<\/span><\/h3>\n<p style=\"font-weight: 400;\"><strong>01\u00a0<\/strong><b>Detect more breast cancers<\/b><\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">The combination of first-reader radiologists and Lunit AI detects more breast cancers, than not only the first-reader and second-reader radiologists but also the double reading by radiologists.<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Health check-up centers<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Community hospitals and clinics<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Radiology departments<\/p>\n<p style=\"font-weight: 400;\"><strong>02 Fast triage of normal cases<\/strong><\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">According to the abnormality scores generated by AI, radiologists can successfully triage up to 60% of the entire cases without human interpretation, which can reduce their workload by more than half in mammogram interpretation.<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Health check-up centers<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Imaging clinics<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Teleradiology centers<\/p>\n<p style=\"font-weight: 400;\"><strong>03 Improved reading performance of general radiologists<\/strong><\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">General radiologists can use the AI analysis results to improve their reading performance, at a level up to that of breast specialists.<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Health check-up centers<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Community hospitals and clinics<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Radiology departments<\/p>\n<p style=\"font-weight: 400;\"><strong>04 Early diagnosis of breast cancer<\/strong><\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Radiologists can detect T1 and node-negative breast cancer with 91% and 87% accuracy, respectively.<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Health check-up centers<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Community hospitals and clinics<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Radiology departments<\/p>\n<p style=\"font-weight: 400;\"><strong>05 Support for decision-making on BI-RADS 3 and 4 cases<\/strong><\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">For difficult cases classified as BI-RADS 3 or 4, radiologists can compare their reading result and decide with confidence for additional exams such as ultrasound and biopsy<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Health check-up centers<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Community hospitals and clinics<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Radiology departments<\/p>\n<p style=\"font-weight: 400;\"><strong>06 Improved diagnostic accuracy for dense breasts<\/strong><\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Radiologists can improve their diagnostic accuracy for dense and fatty breasts by up to 9% and 22%, respectively.<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Health check-up centers<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Community hospitals and clinics<\/p>\n<p style=\"font-weight: 400; padding-left: 40px;\">Radiology departments<\/p>\n<\/div><\/section><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" 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