• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass?深入探讨心电图与主动脉瓣狭窄:触地得分还是未完成传球?
J Am Heart Assoc. 2020 Apr 7;9(7):e016193. doi: 10.1161/JAHA.120.016193. Epub 2020 Mar 21.
2
Classification of Aortic Stenosis Using ECG by Deep Learning and its Analysis Using Grad-CAM.基于深度学习的心电图对主动脉瓣狭窄的分类及其使用Grad-CAM的分析
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1548-1551. doi: 10.1109/EMBC44109.2020.9175151.
3
Clinical value of regression of electrocardiographic left ventricular hypertrophy after aortic valve replacement.主动脉瓣置换术后心电图左心室肥厚消退的临床价值
Heart Vessels. 2016 Sep;31(9):1497-503. doi: 10.1007/s00380-015-0761-2. Epub 2015 Nov 3.
4
[Left ventricular hypertrophy in patients with aortic stenosis. A comparison between electrocardiography and echocardiography].[主动脉瓣狭窄患者的左心室肥厚。心电图与超声心动图的比较]
Ugeskr Laeger. 1994 Oct 10;156(41):6032-5.
5
ECG of the Month:A Forty-Year-Old Woman with a History of a Cardiac Operation at Age 5 Years.本月心电图病例:一名40岁女性,5岁时曾接受心脏手术。
J La State Med Soc. 2015 Jul-Aug;167(4):196-7. Epub 2015 Aug 15.
6
Preliminary experience in the assessment of aortic valve calcification by ECG-gated multislice spiral computed tomography.心电图门控多层螺旋计算机断层扫描评估主动脉瓣钙化的初步经验。
Int J Cardiol. 2005 Jul 10;102(2):195-200. doi: 10.1016/j.ijcard.2004.05.017.
7
Clinical implications of electrocardiographic left ventricular strain and hypertrophy in asymptomatic patients with aortic stenosis: the Simvastatin and Ezetimibe in Aortic Stenosis study.在无症状主动脉瓣狭窄患者中,心电图左心室应变和肥厚的临床意义:辛伐他汀和依折麦布在主动脉瓣狭窄研究中的应用。
Circulation. 2012 Jan 17;125(2):346-53. doi: 10.1161/CIRCULATIONAHA.111.049759. Epub 2011 Dec 6.
8
Quantification of aortic valve area with ECG-gated multi-detector spiral computed tomography in patients with aortic stenosis and comparison of two image analysis methods.心电图门控多排螺旋计算机断层扫描对主动脉瓣狭窄患者主动脉瓣面积的定量分析及两种图像分析方法的比较
Int J Cardiol. 2009 Jun 26;135(2):266-9. doi: 10.1016/j.ijcard.2008.03.095. Epub 2008 Jul 11.
9
Relation of mass/volume ratio to ECG abnormalities and symptoms in children with aortic stenosis/insufficiency.主动脉瓣狭窄/关闭不全患儿的质量/体积比与心电图异常及症状的关系。
Angiology. 1999 Feb;50(2):131-6. doi: 10.1177/000331979905000206.
10
Electrocardiographically gated multi-detector row CT for assessment of valvular morphology and calcification in aortic stenosis.心电门控多排CT用于评估主动脉瓣狭窄的瓣膜形态和钙化情况。
Radiology. 2002 Oct;225(1):120-8. doi: 10.1148/radiol.2251011703.

引用本文的文献

1
Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival.通过可解释的先进心电图估计的心脏年龄差距与心血管危险因素和生存率相关。
Eur Heart J Digit Health. 2023 Jul 25;4(5):384-392. doi: 10.1093/ehjdh/ztad045. eCollection 2023 Oct.
2
Electrocardiographic Markers of Adverse Left Ventricular Remodeling and Myocardial Fibrosis in Severe Aortic Stenosis.严重主动脉瓣狭窄患者左心室不良重构和心肌纤维化的心电图标志物
J Clin Med. 2023 Aug 27;12(17):5588. doi: 10.3390/jcm12175588.
3
Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches.心脏重症监护病房患者的死亡率预测:对现有方法和人工智能增强方法的系统评价
Front Artif Intell. 2022 May 31;5:876007. doi: 10.3389/frai.2022.876007. eCollection 2022.
4
Heart age estimated using explainable advanced electrocardiography.使用可解释的先进心电图技术评估心脏年龄。
Sci Rep. 2022 Jun 14;12(1):9840. doi: 10.1038/s41598-022-13912-9.

本文引用的文献

1
Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.基于深度学习的心电图主动脉瓣狭窄检测算法。
J Am Heart Assoc. 2020 Apr 7;9(7):e014717. doi: 10.1161/JAHA.119.014717. Epub 2020 Mar 21.
2
Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram.使用卷积神经网络的心电图诊断肥厚型心肌病。
J Am Coll Cardiol. 2020 Feb 25;75(7):722-733. doi: 10.1016/j.jacc.2019.12.030.
3
Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis.评估和减轻医学人工智能中的偏见:种族和民族对心电图分析深度学习模型的影响。
Circ Arrhythm Electrophysiol. 2020 Mar;13(3):e007988. doi: 10.1161/CIRCEP.119.007988. Epub 2020 Feb 16.
4
Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography.比较心电图人工智能与传统诊断标准检测左心室肥厚的性能。
Europace. 2020 Mar 1;22(3):412-419. doi: 10.1093/europace/euz324.
5
Early Surgery or Conservative Care for Asymptomatic Aortic Stenosis.无症状主动脉瓣狭窄的早期手术或保守治疗。
N Engl J Med. 2020 Jan 9;382(2):111-119. doi: 10.1056/NEJMoa1912846. Epub 2019 Nov 16.
6
Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability.人工智能、责任归因与可解释性的关系论证
Sci Eng Ethics. 2020 Aug;26(4):2051-2068. doi: 10.1007/s11948-019-00146-8. Epub 2019 Oct 24.
7
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.
8
Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification.基于心电图的心力衰竭识别深度学习算法的开发与验证
Korean Circ J. 2019 Jul;49(7):629-639. doi: 10.4070/kcj.2018.0446. Epub 2019 Mar 21.
9
Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.人工智能与医疗决策的黑箱:准确性与可解释性
Hastings Cent Rep. 2019 Jan;49(1):15-21. doi: 10.1002/hast.973.
10
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.系统评价显示,机器学习在临床预测模型中并未优于逻辑回归。
J Clin Epidemiol. 2019 Jun;110:12-22. doi: 10.1016/j.jclinepi.2019.02.004. Epub 2019 Feb 11.

Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass?

作者信息

Gladding Patrick A, Hewitt Will, Schlegel Todd T

机构信息

Cardiology Department Waitemata District Health Board Auckland New Zealand.

Auckland Bioengineering Institute Auckland New Zealand.

出版信息

J Am Heart Assoc. 2020 Apr 7;9(7):e016193. doi: 10.1161/JAHA.120.016193. Epub 2020 Mar 21.

DOI:10.1161/JAHA.120.016193
PMID:32200715
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7428629/
Abstract
摘要