Machine learning of adipose tissue in atrial fibrillation.
作者信息
Baykaner Tina, Narayan Sanjiv
机构信息
Department of Internal Medicine, Division of Cardiology, Stanford University, Stanford, California.
Department of Internal Medicine, Division of Cardiology, Stanford University, Stanford, California.
出版信息
Heart Rhythm. 2022 Dec;19(12):2042-2043. doi: 10.1016/j.hrthm.2022.08.027. Epub 2022 Aug 27.
Abstract
摘要
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本文引用的文献
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Unsupervised machine learning reveals epicardial adipose tissue subtypes with distinct atrial fibrosis profiles in patients with persistent atrial fibrillation: A prospective 2-center cohort study.无监督机器学习揭示持续性心房颤动患者心外膜脂肪组织亚型与不同心房纤维化特征相关：一项前瞻性的 2 中心队列研究。
Heart Rhythm. 2022 Dec;19(12):2033-2041. doi: 10.1016/j.hrthm.2022.07.030. Epub 2022 Aug 5.
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Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review.CT图像上的心外膜和心包脂肪分析与人工智能：文献综述
Quant Imaging Med Surg. 2022 Mar;12(3):2075-2089. doi: 10.21037/qims-21-945.
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Automated Quality-Controlled Cardiovascular Magnetic Resonance Pericardial Fat Quantification Using a Convolutional Neural Network in the UK Biobank.在英国生物银行中使用卷积神经网络进行自动质量控制的心血管磁共振心包脂肪定量分析
Front Cardiovasc Med. 2021 Jul 7;8:677574. doi: 10.3389/fcvm.2021.677574. eCollection 2021.
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Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid and Dataset.利用机器学习通过混合数据集从心内信号中表征心房纤维化基质。
Front Physiol. 2021 Jul 5;12:699291. doi: 10.3389/fphys.2021.699291. eCollection 2021.
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Supervised Obesity Reduction Trial for AF ablation patients: results from the SORT-AF trial.AF 消融患者的监督减肥试验：SORT-AF 试验结果。
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Cardiovasc Res. 2016 Apr 1;109(4):502-9. doi: 10.1093/cvr/cvw001. Epub 2016 Jan 19.
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J Am Coll Cardiol. 2015 May 26;65(20):2159-69. doi: 10.1016/j.jacc.2015.03.002. Epub 2015 Mar 16.
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