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Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk.

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Title: Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk.
Authors: Kim EY; Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Park EK; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.; Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea., Kwon MR; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Kim M; Lunit, Seoul, Republic of Korea.; Department of Statistics, Ewha Womans University, Seoul, Republic of Korea., Park J; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Kang J; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Cho Y; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Lee S; Lunit, Seoul, Republic of Korea., Song M; Lunit, Seoul, Republic of Korea., Kim KH; Lunit, Seoul, Republic of Korea., Kim TS; Lunit, Seoul, Republic of Korea., Lee H; Lunit, Seoul, Republic of Korea., Kwon R; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.; Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea., Lim GY; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.; Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea., Choi J; School of Mechanical Engineering, Sunkyungkwan University, Republic of Korea., Ham SY; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Kook SH; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Chang Y; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Building B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea., Ryu S; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Building B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.
Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2025 Nov; Vol. 7 (6), pp. e240804.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk.
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  Data: <searchLink fieldCode="AU" term="%22Kim+EY%22">Kim EY</searchLink>; Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+EK%22">Park EK</searchLink>; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.; Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+MR%22">Kwon MR</searchLink>; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+M%22">Kim M</searchLink>; Lunit, Seoul, Republic of Korea.; Department of Statistics, Ewha Womans University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+J%22">Kang J</searchLink>; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+Y%22">Cho Y</searchLink>; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Song+M%22">Song M</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+KH%22">Kim KH</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+TS%22">Kim TS</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+H%22">Lee H</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+R%22">Kwon R</searchLink>; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.; Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+GY%22">Lim GY</searchLink>; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.; Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+J%22">Choi J</searchLink>; School of Mechanical Engineering, Sunkyungkwan University, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ham+SY%22">Ham SY</searchLink>; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kook+SH%22">Kook SH</searchLink>; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chang+Y%22">Chang Y</searchLink>; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Building B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+S%22">Ryu S</searchLink>; Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Building B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101746556%22">Radiology. Artificial intelligence</searchLink> [Radiol Artif Intell] 2025 Nov; Vol. 7 (6), pp. e240804.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiological+Society+of+North+America%2C+Inc%22">Radiological Society of North America, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101746556 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2638-6100 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226386100%22">26386100 </searchLink><i>NLM ISO Abbreviation: </i>Radiol Artif Intell <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41091030
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        Value: 10.1148/ryai.240804
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      – Code: eng
        Text: English
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      – TitleFull: Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk.
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            – D: 01
              M: 11
              Text: 2025 Nov
              Type: published
              Y: 2025
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              Value: 6
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            – TitleFull: Radiology. Artificial intelligence
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