临床实习
计算机科学
人工智能
危险分层
机器学习
临床心脏病学
最先进的
无所不在
心脏病学
内科学
医学
数据科学
认识论
哲学
家庭医学
作者
Jef Van den Eynde,Mark Lachmann,Karl‐Ludwig Laugwitz,Cedric Manlhiot,Shelby Kutty
标识
DOI:10.1016/j.tcm.2022.01.010
摘要
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.
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