• 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

Artificial intelligence: a new clinical support tool for stress echocardiography.

作者信息

Alsharqi Maryam, Upton Ross, Mumith Angela, Leeson Paul

机构信息

a Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine , University of Oxford , Oxford , UK.

b Ultromics Ltd , Oxford , UK.

出版信息

Expert Rev Med Devices. 2018 Aug;15(8):513-515. doi: 10.1080/17434440.2018.1497482. Epub 2018 Jul 19.

DOI:10.1080/17434440.2018.1497482
PMID:29992841
Abstract
摘要

相似文献

1
Artificial intelligence: a new clinical support tool for stress echocardiography.人工智能：一种用于负荷超声心动图的新型临床支持工具。
Expert Rev Med Devices. 2018 Aug;15(8):513-515. doi: 10.1080/17434440.2018.1497482. Epub 2018 Jul 19.
2
The Role of Artificial Intelligence in Echocardiography: A Clinical Update.人工智能在超声心动图中的作用：临床最新进展
Curr Cardiol Rep. 2023 Dec;25(12):1897-1907. doi: 10.1007/s11886-023-02005-2. Epub 2023 Dec 13.
3
Applications of artificial intelligence and machine learning approaches in echocardiography.人工智能和机器学习方法在超声心动图中的应用。
Echocardiography. 2021 Jun;38(6):982-992. doi: 10.1111/echo.15048. Epub 2021 May 13.
4
[Applications of machine learning in clinical decision support in the omic era].[机器学习在组学时代临床决策支持中的应用]
Yi Chuan. 2018 Sep 20;40(9):693-703. doi: 10.16288/j.yczz.18-139.
5
Artificial intelligence to support clinical decision-making processes.支持临床决策过程的人工智能。
EBioMedicine. 2019 Aug;46:27-29. doi: 10.1016/j.ebiom.2019.07.019. Epub 2019 Jul 11.
6
How Bioethics Can Shape Artificial Intelligence and Machine Learning.生物伦理学如何塑造人工智能和机器学习
Hastings Cent Rep. 2018 Sep;48(5):10-13. doi: 10.1002/hast.895.
7
Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy.人工智能和机器学习 | 在肌肉骨骼物理治疗中的应用。
Musculoskelet Sci Pract. 2019 Feb;39:164-169. doi: 10.1016/j.msksp.2018.11.012. Epub 2018 Nov 23.
8
Will Artificial Intelligence Replace the Human Echocardiographer?人工智能会取代人类超声心动图检查医师吗？
Circulation. 2018 Oct 16;138(16):1639-1642. doi: 10.1161/CIRCULATIONAHA.118.037095.
9
Artificial intelligence in stress echocardiography.
Asian J Surg. 2024 Jan;47(1):786-787. doi: 10.1016/j.asjsur.2023.10.035. Epub 2023 Oct 29.
10
Automation, machine learning, and artificial intelligence in echocardiography: A brave new world.超声心动图中的自动化、机器学习与人工智能：一个全新的世界。
Echocardiography. 2018 Sep;35(9):1402-1418. doi: 10.1111/echo.14086. Epub 2018 Jul 5.

引用本文的文献

1
The Willingness of Doctors to Adopt Artificial Intelligence-Driven Clinical Decision Support Systems at Different Hospitals in China: Fuzzy Set Qualitative Comparative Analysis of Survey Data.中国不同医院医生采用人工智能驱动的临床决策支持系统的意愿：基于调查数据的模糊集定性比较分析
J Med Internet Res. 2025 Jan 7;27:e62768. doi: 10.2196/62768.
2
Empowering Medical Students: Harnessing Artificial Intelligence for Precision Point-of-Care Echocardiography Assessment of Left Ventricular Ejection Fraction.赋能医学生：利用人工智能进行即时心脏超声心动图左心室射血分数精准评估。
Int J Clin Pract. 2023 Nov 29;2023:5225872. doi: 10.1155/2023/5225872. eCollection 2023.
3
Exploring the Potential of Artificial Intelligence in Pediatric Echocardiography-Preliminary Results from the First Pediatric Study Using AI Software Developed for Adults.
探索人工智能在儿科超声心动图中的潜力——来自首次使用为成人开发的人工智能软件进行的儿科研究的初步结果。
J Clin Med. 2023 Apr 29;12(9):3209. doi: 10.3390/jcm12093209.
4
Big Data in cardiac surgery: real world and perspectives.大数据在心脏外科学中的应用：现实世界与展望。
J Cardiothorac Surg. 2022 Oct 29;17(1):277. doi: 10.1186/s13019-022-02025-z.
5
Machine Learning Algorithms for Prediction of Survival by Stress Echocardiography in Chronic Coronary Syndromes.用于预测慢性冠状动脉综合征患者应力超声心动图生存情况的机器学习算法
J Pers Med. 2022 Sep 16;12(9):1523. doi: 10.3390/jpm12091523.
6
Stress Echo 2030: The Novel ABCDE-(FGLPR) Protocol to Define the Future of Imaging.应激超声心动图2030：定义成像未来的新型ABCDE-（FGLPR）方案
J Clin Med. 2021 Aug 17;10(16):3641. doi: 10.3390/jcm10163641.
7
Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis.人工智能在超声心动图中的应用：检测、功能评估和疾病诊断。
Cardiovasc Ultrasound. 2021 Aug 20;19(1):29. doi: 10.1186/s12947-021-00261-2.
8
Artificial intelligence in personalized cardiovascular medicine and cardiovascular imaging.个性化心血管医学与心血管成像中的人工智能
Cardiovasc Diagn Ther. 2021 Jun;11(3):911-923. doi: 10.21037/cdt.2020.03.09.
9
Real-world performance and accuracy of stress echocardiography: the EVAREST observational multi-centre study.超声心动图负荷试验的真实世界表现和准确性：EVAREST 观察性多中心研究。
Eur Heart J Cardiovasc Imaging. 2022 Apr 18;23(5):689-698. doi: 10.1093/ehjci/jeab092.
10
Artificial intelligence and echocardiography.人工智能与超声心动图
Echo Res Pract. 2018 Dec 1;5(4):R115-R125. doi: 10.1530/ERP-18-0056.