• 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

Comparison of Computational Fluid Dynamics and Machine Learning-Based Fractional Flow Reserve in Coronary Artery Disease.

作者信息

Yeri Ashish, Shah Ravi V

机构信息

Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston.

出版信息

Circ Cardiovasc Imaging. 2018 Jun;11(6):e007950. doi: 10.1161/CIRCIMAGING.118.007950.

DOI:10.1161/CIRCIMAGING.118.007950
PMID:29914869
Abstract
摘要

相似文献

1
Comparison of Computational Fluid Dynamics and Machine Learning-Based Fractional Flow Reserve in Coronary Artery Disease.冠状动脉疾病中计算流体动力学与基于机器学习的分数血流储备的比较
Circ Cardiovasc Imaging. 2018 Jun;11(6):e007950. doi: 10.1161/CIRCIMAGING.118.007950.
2
Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.冠状动脉 CT 血管造影衍生的血流储备分数：机器学习算法与计算流体动力学建模。
Radiology. 2018 Jul;288(1):64-72. doi: 10.1148/radiol.2018171291. Epub 2018 Apr 10.
3
Interpreting results of coronary computed tomography angiography-derived fractional flow reserve in clinical practice.解读冠状动脉计算机断层扫描血管造影衍生的血流储备分数在临床实践中的结果。
J Cardiovasc Comput Tomogr. 2017 Sep-Oct;11(5):383-388. doi: 10.1016/j.jcct.2017.06.002. Epub 2017 Jun 23.
4
Fractional flow reserve derived from conventional coronary angiograms and computational fluid dynamics.基于传统冠状动脉造影和计算流体动力学得出的血流储备分数。
Int J Cardiol. 2015;190:187-9. doi: 10.1016/j.ijcard.2015.04.132. Epub 2015 Apr 16.
5
Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.基于机器学习从冠状动脉计算机断层扫描血管造影术得出的计算分数血流储备（FFR）对经有创FFR验证的心肌缺血评估的诊断性能。
Int J Cardiovasc Imaging. 2018 Dec;34(12):1987-1996. doi: 10.1007/s10554-018-1419-9. Epub 2018 Jul 30.
6
The New Era of Computational Fluid Dynamics in CT Angiography: Far Beyond the FFR Number.CT血管造影中计算流体动力学的新时代：远不止FFR数值。
JACC Cardiovasc Imaging. 2017 Jun;10(6):674-676. doi: 10.1016/j.jcmg.2016.08.001. Epub 2016 Oct 19.
7
Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis.计算流体动力学在心脏计算机断层扫描中的应用，用于无创定量分数流量储备：科学基础。
J Am Coll Cardiol. 2013 Jun 4;61(22):2233-41. doi: 10.1016/j.jacc.2012.11.083. Epub 2013 Apr 3.
8
From Newton to the Coronaries: Computational Fluid Dynamics Has Entered the Clinical Scene.从牛顿力学到冠状动脉：计算流体动力学已进入临床领域。
JACC Cardiovasc Imaging. 2016 Jun;9(6):700-2. doi: 10.1016/j.jcmg.2015.11.018. Epub 2016 Feb 17.
9
Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm.冠状动脉CT血管造影衍生的血流储备分数：方法学与即时检测算法评估
J Cardiovasc Comput Tomogr. 2016 Mar-Apr;10(2):105-13. doi: 10.1016/j.jcct.2015.12.006. Epub 2015 Dec 18.
10
Chess and Coronary Artery Ischemia: Clinical Implications of Machine-Learning Applications.
Circ Cardiovasc Imaging. 2018 Jun;11(6):e007943. doi: 10.1161/CIRCIMAGING.118.007943.

引用本文的文献

1
The Role of Coronary Computed Tomography Angiography in the Diagnosis, Risk Stratification, and Management of Patients with Diabetes and Chest Pain.冠状动脉计算机断层扫描血管造影在糖尿病合并胸痛患者的诊断、风险分层及管理中的作用
Rev Cardiovasc Med. 2024 Dec 17;25(12):442. doi: 10.31083/j.rcm2512442. eCollection 2024 Dec.
2
Current and Future Applications of Artificial Intelligence in Coronary Artery Disease.人工智能在冠状动脉疾病中的当前及未来应用
Healthcare (Basel). 2022 Jan 26;10(2):232. doi: 10.3390/healthcare10020232.
3
Changes and significance of hydrodynamic parameters in Budd-Chiari syndrome with obstruction of the inferior vena cava prior to and after interventional therapy.
布加综合征合并下腔静脉梗阻介入治疗前后血流动力学参数的变化及意义
Exp Ther Med. 2021 Mar;21(3):178. doi: 10.3892/etm.2021.9609. Epub 2021 Jan 5.
4
The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review.人工智能在心血管成像中的作用：最新技术综述
Front Cardiovasc Med. 2020 Dec 23;7:618849. doi: 10.3389/fcvm.2020.618849. eCollection 2020.