Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: a prospective cohort study.

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Title: Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: a prospective cohort study.
Authors: Tu C; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China., Yang S; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China., Wang Z; Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, People's Republic of China.; Precision and Intelligent Imaging Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, People's Republic of China., Liu L; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China., Ma Z; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China., Zhang H; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China., Feng L; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China., Cai B; Department of Medicine, Beijing X-Magtech Technologies Limited, No. 27, Middle Jiancaicheng Road, Haidian District, Beijing 100096, People's Republic of China., Zhang H; Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University, No. 10 Youanmenwai Xitoutiao, Fengtai District, Beijing 100069, People's Republic of China.; Beijing Lab for Cardiovascular Precision Medicine, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China., Ding M; School of Instrumentation and Optoelectronic Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, People's Republic of China., Song X; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.
Source: Physiological measurement [Physiol Meas] 2025 Aug 11; Vol. 46 (8). Date of Electronic Publication: 2025 Aug 11.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: IOP Pub. Ltd Country of Publication: England NLM ID: 9306921 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6579 (Electronic) Linking ISSN: 09673334 NLM ISO Abbreviation: Physiol Meas Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: a prospective cohort study.
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  Data: <searchLink fieldCode="AU" term="%22Tu+C%22">Tu C</searchLink>; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Yang+S%22">Yang S</searchLink>; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wang+Z%22">Wang Z</searchLink>; Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, People's Republic of China.; Precision and Intelligent Imaging Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Liu+L%22">Liu L</searchLink>; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Ma+Z%22">Ma Z</searchLink>; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Feng+L%22">Feng L</searchLink>; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Cai+B%22">Cai B</searchLink>; Department of Medicine, Beijing X-Magtech Technologies Limited, No. 27, Middle Jiancaicheng Road, Haidian District, Beijing 100096, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University, No. 10 Youanmenwai Xitoutiao, Fengtai District, Beijing 100069, People's Republic of China.; Beijing Lab for Cardiovascular Precision Medicine, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Ding+M%22">Ding M</searchLink>; School of Instrumentation and Optoelectronic Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Song+X%22">Song X</searchLink>; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.; Beijing Institute of Heart, Lung and Blood Vessel Diseases, No.2, Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOP+Pub%2E+Ltd%22">IOP Pub. Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9306921 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1361-6579 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209673334%22">09673334 </searchLink><i>NLM ISO Abbreviation: </i>Physiol Meas <i>Subsets: </i>MEDLINE
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        Value: 10.1088/1361-6579/adf0be
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        Text: English
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      – TitleFull: Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: a prospective cohort study.
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              Text: 2025 Aug 11
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