人工智能在超声心动图中的应用：综述及局限性，包括认识论问题。
Artificial intelligence in echocardiography: Review and limitations including epistemological concerns.
机构信息
Department of Cardiology, School of Medicine, Acibadem University, Istanbul, Turkey.
Division of Cardiology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
出版信息
Echocardiography. 2022 Aug;39(8):1044-1053. doi: 10.1111/echo.15417. Epub 2022 Jul 9.
BACKGROUND AND PURPOSE
In this review we describe the use of artificial intelligence in the field of echocardiography. Various aspects and terminologies used in artificial intelligence are explained in an easy-to-understand manner and supplemented with illustrations related to echocardiography. Limitations of artificial intelligence, including epistemologic concerns from a philosophical standpoint, are also discussed.
METHODS
A narrative review of relevant papers was conducted.
CONCLUSION
We provide an overview of the usefulness of artificial intelligence in echocardiography and focus on how it can supplement current day-to-day clinical practice in the assessment of various cardiovascular disease entities. On the other hand, there are significant limitations, including epistemological concerns, which need to be kept in perspective.
背景与目的
在这篇综述中，我们描述了人工智能在超声心动图领域的应用。以通俗易懂的方式解释了人工智能中使用的各种方面和术语，并补充了与超声心动图相关的插图。还讨论了人工智能的局限性，包括从哲学角度出发的认识论问题。
方法
对相关论文进行了叙述性综述。
结论
我们提供了人工智能在超声心动图中有用性的概述，并重点介绍了它如何补充当前对各种心血管疾病实体评估的日常临床实践。另一方面，存在着重大的局限性，包括认识论问题，需要保持正确的认识。
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