Suppr超能文献

Will Artificial Intelligence Replace the Human Echocardiographer?

作者信息

Sengupta Partho P, Adjeroh Donald A

机构信息

Division of Cardiology, West Virginia University Heart and Vascular Institute, School of Medicine (P.P.S.).

Lane Department of Computer Science and Electrical Engineering (D.A.A.), West Virginia University, Morgantown.

出版信息

Circulation. 2018 Oct 16;138(16):1639-1642. doi: 10.1161/CIRCULATIONAHA.118.037095.

Abstract
摘要

相似文献

1
Will Artificial Intelligence Replace the Human Echocardiographer?
Circulation. 2018 Oct 16;138(16):1639-1642. doi: 10.1161/CIRCULATIONAHA.118.037095.
2
Applications of artificial intelligence and machine learning approaches in echocardiography.
Echocardiography. 2021 Jun;38(6):982-992. doi: 10.1111/echo.15048. Epub 2021 May 13.
3
Combining Artificial Intelligence With Human Insight to Automate Echocardiography.
Circ Cardiovasc Imaging. 2019 Sep;12(9):e009727. doi: 10.1161/CIRCIMAGING.119.009727. Epub 2019 Sep 16.
4
Automation, machine learning, and artificial intelligence in echocardiography: A brave new world.
Echocardiography. 2018 Sep;35(9):1402-1418. doi: 10.1111/echo.14086. Epub 2018 Jul 5.
5
Artificial intelligence: a new clinical support tool for stress echocardiography.
Expert Rev Med Devices. 2018 Aug;15(8):513-515. doi: 10.1080/17434440.2018.1497482. Epub 2018 Jul 19.
6
Learning About Machine Learning to Create a Self-Driving Echocardiographic Laboratory.
Circulation. 2018 Oct 16;138(16):1636-1638. doi: 10.1161/CIRCULATIONAHA.118.037094.
7
How Bioethics Can Shape Artificial Intelligence and Machine Learning.
Hastings Cent Rep. 2018 Sep;48(5):10-13. doi: 10.1002/hast.895.
8
Trust Me, I'm a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test.
J Med Internet Res. 2019 Oct 28;21(10):e16222. doi: 10.2196/16222.
9
Artificial intelligence to support clinical decision-making processes.
EBioMedicine. 2019 Aug;46:27-29. doi: 10.1016/j.ebiom.2019.07.019. Epub 2019 Jul 11.
10
[Applications of machine learning in clinical decision support in the omic era].
Yi Chuan. 2018 Sep 20;40(9):693-703. doi: 10.16288/j.yczz.18-139.

引用本文的文献

2
Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment.
Proc SIGCHI Conf Hum Factor Comput Syst. 2024 May;2024. doi: 10.1145/3613904.3642369. Epub 2024 May 11.
3
Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review.
Front Psychiatry. 2024 May 7;15:1356773. doi: 10.3389/fpsyt.2024.1356773. eCollection 2024.
4
Embracing AI: The Imperative Tool for Echo Labs to Stay Ahead of the Curve.
Diagnostics (Basel). 2023 Oct 6;13(19):3137. doi: 10.3390/diagnostics13193137.
5
Role of Deep Learning in Computed Tomography.
Cureus. 2023 May 17;15(5):e39160. doi: 10.7759/cureus.39160. eCollection 2023 May.
7
Artificial intelligence in cardiology: The past, present and future.
Indian Heart J. 2022 Jul-Aug;74(4):265-269. doi: 10.1016/j.ihj.2022.07.004. Epub 2022 Jul 30.
8
Applications of Machine Learning in Cardiology.
Cardiol Ther. 2022 Sep;11(3):355-368. doi: 10.1007/s40119-022-00273-7. Epub 2022 Jul 12.
9
Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging.
Front Cardiovasc Med. 2022 Jan 4;8:765693. doi: 10.3389/fcvm.2021.765693. eCollection 2021.
10
Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence.
Interv Cardiol. 2021 Oct 20;16:e31. doi: 10.15420/icr.2020.04. eCollection 2021 Apr.

本文引用的文献

1
Fast and accurate view classification of echocardiograms using deep learning.
NPJ Digit Med. 2018;1. doi: 10.1038/s41746-017-0013-1. Epub 2018 Mar 21.
2
Fully Automated Echocardiogram Interpretation in Clinical Practice.
Circulation. 2018 Oct 16;138(16):1623-1635. doi: 10.1161/CIRCULATIONAHA.118.034338.
3
Precision Phenotyping in Heart Failure and Pattern Clustering of Ultrasound Data for the Assessment of Diastolic Dysfunction.
JACC Cardiovasc Imaging. 2017 Nov;10(11):1291-1303. doi: 10.1016/j.jcmg.2016.10.012. Epub 2017 Jan 18.
4
Burnout Among Cardiologists.
Am J Cardiol. 2017 Mar 15;119(6):938-940. doi: 10.1016/j.amjcard.2016.11.052. Epub 2016 Dec 18.
5
Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.
J Am Coll Cardiol. 2016 Nov 29;68(21):2287-2295. doi: 10.1016/j.jacc.2016.08.062.
6
The Supply and Demand of the Cardiovascular Workforce: Striking the Right Balance.
J Am Coll Cardiol. 2016 Oct 11;68(15):1680-1689. doi: 10.1016/j.jacc.2016.06.070.
7
Characterization of myocardial motion patterns by unsupervised multiple kernel learning.
Med Image Anal. 2017 Jan;35:70-82. doi: 10.1016/j.media.2016.06.007. Epub 2016 Jun 11.
10
Identifying errors and inconsistencies in real time while using facilitated echocardiographic reporting.
J Am Soc Echocardiogr. 2015 Jan;28(1):88-92.e1. doi: 10.1016/j.echo.2014.09.005. Epub 2014 Oct 16.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验