Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography.

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作者： Joon-Myoung,Kwon ^[1] ; Ki-Hyun,Jeon ^[2] ; Hyue Mee,Kim ^[2] ; Min Jeong,Kim ^[3] ; Sung Min,Lim ^[3] ; Kyung-Hee,Kim ^[3] ; Pil Sang,Song ^[3] ; Jinsik,Park ^[3] ; Rak Kyeong,Choi ^[3] ; Byung-Hee,Oh ^[3]

作者单位： Department of Emergency Medicine, Mediplex Sejong Hospital, 20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea. ^[1] Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, 28, Hohyeon-ro 489beon-gil, Bucheon-si, Gyeonggi-do, Republic of Korea. ^[2] Division of Cardiology, Cardiovascular Center, Mediplex Sejong Hospital, 20, Gyeyangmunhwa-ro, Gyeyang-gu, 21080 Incheon, Republic of Korea. ^[3]

关键词 Machine learning Artificial intelligence Deep learning Electrocardiography Hypertrophy Left ventricular

主题词人工智能(Artificial Intelligence);超声心动描记术(Echocardiography);心电描记术(Electrocardiography);人类(Humans);肥大, 左心室(Hypertrophy, Left Ventricular);回顾性研究(Retrospective Studies)

DOI 10.1093/europace/euz324

PMID 31800031

发布时间 2021-06-25

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