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Electrocardiogram-based deep learning score for coronary artery calcification reclassifies cardiovascular risk and identifies screening candidates.

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Title: Electrocardiogram-based deep learning score for coronary artery calcification reclassifies cardiovascular risk and identifies screening candidates.
Authors: Han C; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea., You SC; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea., Lee HC; Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Park JY; Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.; Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea.; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Republic of Korea., Lim HS; Department of Cardiology, Ajou University School of Medicine, Suwon, Republic of Korea., Park C; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea., Pak HN; Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea., Kwon OS; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea.; Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea., Kim S; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim JS; Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seodaemun-gu, Seoul, 16995, Republic of Korea. kjs1218@yuhs.ac., Yoon D; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea. dukyong.yoon@yonsei.ac.kr.; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea. dukyong.yoon@yonsei.ac.kr.; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Republic of Korea. dukyong.yoon@yonsei.ac.kr.; Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 16995, Republic of Korea. dukyong.yoon@yonsei.ac.kr.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2026 Feb 21; Vol. 26 (1). Date of Electronic Publication: 2026 Feb 21.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Electrocardiogram-based deep learning score for coronary artery calcification reclassifies cardiovascular risk and identifies screening candidates.
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  Data: <searchLink fieldCode="AU" term="%22Han+C%22">Han C</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22You+SC%22">You SC</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+HC%22">Lee HC</searchLink>; Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+JY%22">Park JY</searchLink>; Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.; Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea.; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+HS%22">Lim HS</searchLink>; Department of Cardiology, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+C%22">Park C</searchLink>; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Pak+HN%22">Pak HN</searchLink>; Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+OS%22">Kwon OS</searchLink>; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea.; Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+JS%22">Kim JS</searchLink>; Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seodaemun-gu, Seoul, 16995, Republic of Korea. kjs1218@yuhs.ac.<br /><searchLink fieldCode="AU" term="%22Yoon+D%22">Yoon D</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea. dukyong.yoon@yonsei.ac.kr.; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea. dukyong.yoon@yonsei.ac.kr.; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Republic of Korea. dukyong.yoon@yonsei.ac.kr.; Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 16995, Republic of Korea. dukyong.yoon@yonsei.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%22101088682%22">BMC medical informatics and decision making</searchLink> [BMC Med Inform Decis Mak] 2026 Feb 21; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Feb 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101088682 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1472-6947 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214726947%22">14726947 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Inform Decis Mak <i>Subsets: </i>MEDLINE
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              Text: 2026 Feb 21
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