The Blalock-Taussig-Thomas Pediatric and Congenital Heart Center, Department of Pediatrics, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA; Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
First Department of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich Germany.
Trends Cardiovasc Med. 2023 Jul;33(5):265-271. doi: 10.1016/j.tcm.2022.01.010. Epub 2022 Jan 31.
The omnipresence and deep impact of artificial intelligence (AI) in today's society are undeniable. While the technology has already established itself as a powerful tool in several industries, more recently it has also started to change the practice of medicine. The aim of this review is to provide healthcare providers working in the field of cardiovascular medicine with an overview of AI and machine learning (ML) algorithms that have passed the initial tests and made it into contemporary clinical practice. The following domains where AI/ML could revolutionize cardiology are covered: (i) signal processing, (ii) image processing, (iii) clinical risk stratification, (iv) natural language processing, and (v) fundamental clinical discoveries.
人工智能（AI）在当今社会无处不在，影响深远，这一点毋庸置疑。尽管这项技术已经在多个行业确立了其作为强大工具的地位，但最近它也开始改变医学实践。本次综述的目的是为心血管医学领域的医疗工作者提供概述，内容涉及已经通过初步测试并进入当代临床实践的人工智能和机器学习（ML）算法。本文涵盖了 AI/ML 可能彻底改变心脏病学的以下领域：（i）信号处理，（ii）图像处理，（iii）临床风险分层，（iv）自然语言处理，以及（v）基础临床发现。
