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Artificial intelligence using electrocardiography: strengths and pitfalls.

作者信息

Kwon Joon-Myoung, Jo Yong-Yeon, Lee Soo Youn, Kim Kyung-Hee

机构信息

Medical research team, Medical AI Co., Seoul, South Korea.

Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, South Korea.

出版信息

Eur Heart J. 2021 Aug 7;42(30):2896-2898. doi: 10.1093/eurheartj/ehab090.

DOI:10.1093/eurheartj/ehab090
PMID:33748841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8347448/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca9/8347448/749e7f472453/ehab090f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca9/8347448/749e7f472453/ehab090f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca9/8347448/749e7f472453/ehab090f1.jpg

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本文引用的文献

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Electrocardiogram screening for aortic valve stenosis using artificial intelligence.人工智能在主动脉瓣狭窄中的心电图筛查。
Eur Heart J. 2021 Aug 7;42(30):2885-2896. doi: 10.1093/eurheartj/ehab153.
2
A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study.利用心电图检测贫血的深度学习算法:一项回顾性、多中心研究。
Lancet Digit Health. 2020 Jul;2(7):e358-e367. doi: 10.1016/S2589-7500(20)30108-4. Epub 2020 Jun 23.
3
Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram.
一种新的定量心电图策略揭示了他莫昔芬对小鼠心脏的电抑制作用。
J Cardiovasc Transl Res. 2023 Oct;16(5):1232-1248. doi: 10.1007/s12265-023-10395-5. Epub 2023 May 8.
4
Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG.通过生成12导联心电图实现人工智能增强型智能手表心电图用于心力衰竭射血分数降低检测
Diagnostics (Basel). 2022 Mar 8;12(3):654. doi: 10.3390/diagnostics12030654.
利用心电图进行房颤检测的可解释人工智能。
Int J Cardiol. 2021 Apr 1;328:104-110. doi: 10.1016/j.ijcard.2020.11.053. Epub 2020 Dec 1.
4
Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography.使用六导联心电图检测心肌梗死的人工智能算法。
Sci Rep. 2020 Nov 24;10(1):20495. doi: 10.1038/s41598-020-77599-6.
5
Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography.人工智能算法用于通过心电图预测心脏骤停。
Scand J Trauma Resusc Emerg Med. 2020 Oct 6;28(1):98. doi: 10.1186/s13049-020-00791-0.
6
Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.利用心电图进行肺动脉高压的早期预测的人工智能。
J Heart Lung Transplant. 2020 Aug;39(8):805-814. doi: 10.1016/j.healun.2020.04.009. Epub 2020 Apr 23.
7
Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition.皮肤镜图像中的手术皮肤标记与用于黑色素瘤识别的深度学习卷积神经网络诊断性能之间的关联
JAMA Dermatol. 2019 Oct 1;155(10):1135-1141. doi: 10.1001/jamadermatol.2019.1735.
8
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.一种基于人工智能的心电图算法,用于在窦性心律期间识别房颤患者:对结局预测的回顾性分析。
Lancet. 2019 Sep 7;394(10201):861-867. doi: 10.1016/S0140-6736(19)31721-0. Epub 2019 Aug 1.
9
Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram.开发和验证一种基于深度学习的心电图预测高钾血症的模型。
JAMA Cardiol. 2019 May 1;4(5):428-436. doi: 10.1001/jamacardio.2019.0640.
10
Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.使用人工智能心电图筛查心脏收缩功能障碍。
Nat Med. 2019 Jan;25(1):70-74. doi: 10.1038/s41591-018-0240-2. Epub 2019 Jan 7.