• 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

人工智能在心脏 CT 中的应用:从基础到临床实践。

Application of artificial intelligence in cardiac CT: From basics to clinical practice.

机构信息

University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, the Netherlands.

University of Groningen, University Medical Center Groningen, Department of Epidemiology, the Netherlands.

出版信息

Eur J Radiol. 2020 Jul;128:108969. doi: 10.1016/j.ejrad.2020.108969. Epub 2020 Apr 8.

DOI:10.1016/j.ejrad.2020.108969
PMID:32361380
Abstract

Research into the possibilities of AI in cardiac CT has been growing rapidly in the last decade. With the rise of publicly available databases and AI algorithms, many researchers and clinicians have started investigations into the use of AI in the clinical workflow. This review is a comprehensive overview on the types of tasks and applications in which AI can aid the clinician in cardiac CT, and can be used as a primer for medical researchers starting in the field of AI. The applications of AI algorithms are explained and recent examples in cardiac CT of these algorithms are further elaborated on. The critical factors for implementation in the future are discussed.

摘要

在过去的十年中,人工智能在心脏 CT 中的应用研究迅速发展。随着公开可用数据库和人工智能算法的兴起,许多研究人员和临床医生已经开始研究人工智能在临床工作流程中的应用。这篇综述全面概述了人工智能可以帮助临床医生在心脏 CT 中完成的任务和应用类型,可以作为 AI 领域医学研究人员的入门指南。解释了人工智能算法的应用,并进一步阐述了这些算法在心脏 CT 中的最新应用实例。还讨论了未来实施的关键因素。

相似文献

1
Application of artificial intelligence in cardiac CT: From basics to clinical practice.人工智能在心脏 CT 中的应用:从基础到临床实践。
Eur J Radiol. 2020 Jul;128:108969. doi: 10.1016/j.ejrad.2020.108969. Epub 2020 Apr 8.
2
The use of artificial intelligence in computed tomography image reconstruction - A literature review.人工智能在计算机断层扫描图像重建中的应用——文献综述。
J Med Imaging Radiat Sci. 2020 Dec;51(4):671-677. doi: 10.1016/j.jmir.2020.09.001. Epub 2020 Sep 24.
3
Artificial intelligence in cardiac radiology.人工智能在心脏放射学中的应用。
Radiol Med. 2020 Nov;125(11):1186-1199. doi: 10.1007/s11547-020-01277-w. Epub 2020 Sep 18.
4
Machine Learning/Deep Neuronal Network: Routine Application in Chest Computed Tomography and Workflow Considerations.机器学习/深度神经网络:在胸部计算机断层扫描中的常规应用及工作流程考量。
J Thorac Imaging. 2020 May;35 Suppl 1:S21-S27. doi: 10.1097/RTI.0000000000000498.
5
The Role of Artificial Intelligence in Cardiac Imaging.人工智能在心脏成像中的作用。
Radiol Clin North Am. 2024 May;62(3):473-488. doi: 10.1016/j.rcl.2024.01.002. Epub 2024 Feb 7.
6
[Artificial intelligence in cardiovascular radiology : Image acquisition, image reconstruction and workflow optimization].[心血管放射学中的人工智能:图像采集、图像重建与工作流程优化]
Radiologie (Heidelb). 2024 Oct;64(10):766-772. doi: 10.1007/s00117-024-01335-8. Epub 2024 Jun 24.
7
Enhancing cardiac CT imaging quality: Precision metrics for assessing image quality for AI-powered reconstructions.提高心脏CT成像质量:用于评估人工智能重建图像质量的精确指标。
Diagn Interv Imaging. 2024 Mar;105(3):85-86. doi: 10.1016/j.diii.2023.11.004. Epub 2023 Dec 4.
8
Artificial intelligence in cardiac computed tomography.心脏计算机断层扫描中的人工智能。
Prog Cardiovasc Dis. 2023 Nov-Dec;81:54-77. doi: 10.1016/j.pcad.2023.09.001. Epub 2023 Sep 7.
9
Demystification of AI-driven medical image interpretation: past, present and future.人工智能驱动的医学图像解读的解密:过去、现在和未来。
Eur Radiol. 2019 Mar;29(3):1616-1624. doi: 10.1007/s00330-018-5674-x. Epub 2018 Aug 13.
10
Machine Learning and Deep Neural Networks: Applications in Patient and Scan Preparation, Contrast Medium, and Radiation Dose Optimization.机器学习和深度神经网络:在患者和扫描准备、造影剂和辐射剂量优化中的应用。
J Thorac Imaging. 2020 May;35 Suppl 1:S17-S20. doi: 10.1097/RTI.0000000000000482.

引用本文的文献

1
Artificial Intelligence in Ischemic Heart Disease Prevention.人工智能在缺血性心脏病预防中的应用
Curr Cardiol Rep. 2025 Feb 1;27(1):44. doi: 10.1007/s11886-025-02203-0.
2
Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review.非侵入性心脏成像中人工智能的进展:全面综述
Clin Cardiol. 2025 Jan;48(1):e70087. doi: 10.1002/clc.70087.
3
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.可信且合乎道德的人工智能赋能心血管护理:快速综述。
BMC Med Inform Decis Mak. 2024 Sep 4;24(1):247. doi: 10.1186/s12911-024-02653-6.
4
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association.人工智能在改善心脏病治疗效果中的应用:美国心脏协会的科学声明。
Circulation. 2024 Apr 2;149(14):e1028-e1050. doi: 10.1161/CIR.0000000000001201. Epub 2024 Feb 28.
5
ESR Bridges: CT builds bridges in coronary artery disease.红细胞沉降率桥接:计算机断层扫描在冠状动脉疾病中建立桥接。
Eur Radiol. 2024 Feb;34(2):732-735. doi: 10.1007/s00330-023-10485-7. Epub 2024 Jan 31.
6
State of the art paper: Cardiac computed tomography of the left atrium in atrial fibrillation.最新研究论文:心房颤动的左心房心脏计算机断层扫描。
J Cardiovasc Comput Tomogr. 2023 May-Jun;17(3):166-176. doi: 10.1016/j.jcct.2023.03.002. Epub 2023 Mar 23.
7
Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective.冠状动脉计算机断层扫描血管造影中的人工智能:临床视角下的需求与解决方案
Front Cardiovasc Med. 2023 Feb 16;10:1120361. doi: 10.3389/fcvm.2023.1120361. eCollection 2023.
8
3D Printed Models in Cardiovascular Disease: An Exciting Future to Deliver Personalized Medicine.心血管疾病中的3D打印模型:实现个性化医疗的激动人心的未来。
Micromachines (Basel). 2022 Sep 22;13(10):1575. doi: 10.3390/mi13101575.
9
Artificial intelligence and cardiovascular imaging: A win-win combination.人工智能与心血管成像:双赢组合。
Anatol J Cardiol. 2020 Oct;24(4):214-223. doi: 10.14744/AnatolJCardiol.2020.94491.