{"id":988,"date":"2025-04-09T00:00:00","date_gmt":"2025-04-09T00:00:00","guid":{"rendered":"https:\/\/www.lunit.io\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/"},"modified":"2025-10-31T15:40:43","modified_gmt":"2025-10-31T15:40:43","slug":"lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening","status":"publish","type":"media-hub","link":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/","title":{"rendered":"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening"},"content":{"rendered":"

Despite strong performance from AI, fewer recalls from AI-flagged cases point to challenges in human-AI collaboration<\/strong><\/em><\/p>\n

\"\"<\/p>\n

SEOUL, South Korea, April 9, 2025<\/strong>\u2014 Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced the publication of a new study in Radiology<\/em>(RSNA\u2019s flagship journal), highlighting how radiologists interact with AI in real-world breast cancer screening.<\/p>\n

The study, based on the prospective ScreenTrustCAD trial<\/u><\/a>, is the first large-scale, population-based trial to evaluate how radiologists interact with AI in an operational breast cancer screening setting. Conducted at Capio St G\u00f6ran Hospital in Stockholm, Sweden, the trial enrolled about 55,000 women and implemented Lunit INSIGHT MMG as an independent third reader alongside two radiologists.<\/p>\n

The findings suggest that radiologists were significantly less likely to recall patients flagged by AI\u2014even though those cases were more likely to be cancerous\u2014pointing to a trust gap between human clinicians and AI tools.<\/p>\n

\u201cThis study isn\u2019t just about how well the AI performs\u2014it\u2019s about what happens when AI enters the decision-making process,\u201d said Brandon Suh, CEO of Lunit. \u201cThe findings point to a gap between AI input and human response, and that\u2019s where real-world impact is made or lost.\u201d<\/p>\n

 <\/p>\n

Human-AI Collaboration<\/strong><\/p>\n

The study showed that:<\/p>\n

\u2794 When only AI flagged a case, just 4.6% were recalled by radiologists.<\/p>\n

\u2794 When only a radiologist flagged a case, 14.2% were recalled.<\/p>\n

\u2794 When two radiologists flagged a case, 57.2% were recalled\u2014but when AI and one radiologist both flagged it, the recall rate dropped to 38.6%.<\/p>\n

Despite being blinded to AI scores during the initial review, radiologists consistently recalled fewer patients from AI-flagged cases\u2014raising questions about how AI findings are weighed in clinical judgment.<\/p>\n

\u201cThis isn\u2019t a question of whether AI can detect cancer. It\u2019s about how AI findings are interpreted and acted on by the people making clinical decisions,\u201d said Dr. Karin Dembrower, lead author of the study and radiologist at Karolinska Institutet.<\/p>\n

 <\/p>\n

Clinical Performance of Lunit INSIGHT MMG<\/strong><\/p>\n

While the study\u2019s central focus was on decision-making dynamics, it also confirmed the strong diagnostic performance of Lunit INSIGHT MMG:<\/p>\n

\u2794 Among women recalled after screening, 22% of AI-only flagged cases were diagnosed with cancer.<\/p>\n

\u2794 In contrast, just 3.4% of single-radiologist flags and 2.5% of two-radiologist flags resulted in a cancer diagnosis.<\/p>\n

\u2794 When both AI and one radiologist flagged a case, the cancer yield was highest at 25%.<\/p>\n

These results highlight AI\u2019s ability to detect cancers that may go unnoticed in standard double-reading workflows\u2014particularly in early or less obvious presentations.<\/p>\n

These findings suggest that while the AI system correctly identified high-risk cases, many of those cases were not recalled by radiologists\u2014indicating a potential gap in trust or confidence in AI-generated findings.<\/p>\n

\u201cThe AI clearly shows strong diagnostic performance,\u201d Suh added. \u201cWhat this study reveals is that realizing that potential in daily clinical practice depends on how AI and humans work together.\u201d<\/p>\n

Access the full study published in Radiology<\/em> here<\/u><\/a>.<\/p>\n","protected":false},"author":3,"featured_media":2274,"parent":0,"template":"","media-hub-type":[36],"class_list":["post-988","media-hub","type-media-hub","status-publish","has-post-thumbnail","hentry","media-hub-type-cancer-screening"],"acf":[],"yoast_head":"\nLunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening - 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:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening - Lunit\" \/>\n<meta property=\"og:description\" content=\"Despite strong performance from AI, fewer recalls from AI-flagged cases point to challenges in human-AI collaboration SEOUL, South Korea, April 9, 2025\u2014 Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced the publication of a new study in Radiology(RSNA\u2019s flagship journal), highlighting how radiologists interact with AI in real-world […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/\" \/>\n<meta property=\"og:site_name\" content=\"Lunit\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-31T15:40:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2207\" \/>\n\t<meta property=\"og:image:height\" content=\"1240\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@lunit_ai\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/\",\"url\":\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/\",\"name\":\"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening - Lunit\",\"isPartOf\":{\"@id\":\"https:\/\/www.lunit.io\/ko\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg\",\"datePublished\":\"2025-04-09T00:00:00+00:00\",\"dateModified\":\"2025-10-31T15:40:43+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#primaryimage\",\"url\":\"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg\",\"contentUrl\":\"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg\",\"width\":2207,\"height\":1240},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.lunit.io\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.lunit.io\/ko\/#website\",\"url\":\"https:\/\/www.lunit.io\/ko\/\",\"name\":\"Lunit\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.lunit.io\/ko\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.lunit.io\/ko\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.lunit.io\/ko\/#organization\",\"name\":\"Lunit\",\"url\":\"https:\/\/www.lunit.io\/ko\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.lunit.io\/ko\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.lunit.io\/en\/wp-content\/uploads\/2025\/10\/Logo-black.svg\",\"contentUrl\":\"https:\/\/www.lunit.io\/en\/wp-content\/uploads\/2025\/10\/Logo-black.svg\",\"width\":189,\"height\":52,\"caption\":\"Lunit\"},\"image\":{\"@id\":\"https:\/\/www.lunit.io\/ko\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/lunit_ai\",\"https:\/\/www.linkedin.com\/company\/lunit-inc\",\"https:\/\/x.com\/lunitoncology\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening - Lunit","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/","og_locale":"en_US","og_type":"article","og_title":"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening - Lunit","og_description":"Despite strong performance from AI, fewer recalls from AI-flagged cases point to challenges in human-AI collaboration SEOUL, South Korea, April 9, 2025\u2014 Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced the publication of a new study in Radiology(RSNA\u2019s flagship journal), highlighting how radiologists interact with AI in real-world […]","og_url":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/","og_site_name":"Lunit","article_modified_time":"2025-10-31T15:40:43+00:00","og_image":[{"width":2207,"height":1240,"url":"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@lunit_ai","twitter_misc":{"Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/","url":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/","name":"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening - Lunit","isPartOf":{"@id":"https:\/\/www.lunit.io\/ko\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#primaryimage"},"image":{"@id":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#primaryimage"},"thumbnailUrl":"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg","datePublished":"2025-04-09T00:00:00+00:00","dateModified":"2025-10-31T15:40:43+00:00","breadcrumb":{"@id":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#primaryimage","url":"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg","contentUrl":"https:\/\/www.lunit.io\/wp-content\/uploads\/2025\/04\/Lunit-INSIGHT-MMG.jpg","width":2207,"height":1240},{"@type":"BreadcrumbList","@id":"https:\/\/www.lunit.io\/en\/media-hub\/lunit-study-in-radiology-highlights-trust-gap-between-radiologists-and-ai-in-breast-cancer-screening\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.lunit.io\/en\/"},{"@type":"ListItem","position":2,"name":"Lunit Study in Radiology Highlights Trust Gap Between Radiologists and AI in Breast Cancer Screening"}]},{"@type":"WebSite","@id":"https:\/\/www.lunit.io\/ko\/#website","url":"https:\/\/www.lunit.io\/ko\/","name":"Lunit","description":"","publisher":{"@id":"https:\/\/www.lunit.io\/ko\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.lunit.io\/ko\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.lunit.io\/ko\/#organization","name":"Lunit","url":"https:\/\/www.lunit.io\/ko\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.lunit.io\/ko\/#\/schema\/logo\/image\/","url":"https:\/\/www.lunit.io\/en\/wp-content\/uploads\/2025\/10\/Logo-black.svg","contentUrl":"https:\/\/www.lunit.io\/en\/wp-content\/uploads\/2025\/10\/Logo-black.svg","width":189,"height":52,"caption":"Lunit"},"image":{"@id":"https:\/\/www.lunit.io\/ko\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/lunit_ai","https:\/\/www.linkedin.com\/company\/lunit-inc","https:\/\/x.com\/lunitoncology"]}]}},"_links":{"self":[{"href":"https:\/\/www.lunit.io\/en\/wp-json\/wp\/v2\/media-hub\/988","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lunit.io\/en\/wp-json\/wp\/v2\/media-hub"}],"about":[{"href":"https:\/\/www.lunit.io\/en\/wp-json\/wp\/v2\/types\/media-hub"}],"author":[{"embeddable":true,"href":"https:\/\/www.lunit.io\/en\/wp-json\/wp\/v2\/users\/3"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lunit.io\/en\/wp-json\/wp\/v2\/media\/2274"}],"wp:attachment":[{"href":"https:\/\/www.lunit.io\/en\/wp-json\/wp\/v2\/media?parent=988"}],"wp:term":[{"taxonomy":"media-hub-type","embeddable":true,"href":"https:\/\/www.lunit.io\/en\/wp-json\/wp\/v2\/media-hub-type?post=988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}