View in EDS

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

Saved in:
Bibliographic Details
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
Description
ISSN:1472-6947
DOI:10.1186/s12911-026-03400-9