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. |
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| 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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