Kanwar Manreet K, Kilic Arman, Mehra Mandeep R
Cardiovascular Institute at Allegheny Health Network, Pittsburgh, Pennsylvania.
Division of Cardiac Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
J Heart Lung Transplant. 2021 Jun;40(6):414-425. doi: 10.1016/j.healun.2021.02.016. Epub 2021 Feb 27.
Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI combined with "big data" from the electronic health records, is poised to impact how we take care of patients. In recent years, an expanding body of literature has been published using ML in cardiovascular health care, including mechanical circulatory support (MCS). This primer article provides an overview for clinicians on relevant concepts of ML and AI, reviews predictive modeling concepts in ML and provides contextual reference to how AI is being adapted in the field of MCS. Lastly, it explains how these methods could be incorporated in the practices of medicine to improve patient outcomes.
人工智能(AI)是指机器执行智能任务的能力,而机器学习(ML)是AI的一个子集,描述了机器独立学习并做出准确预测的能力。将AI与电子健康记录中的“大数据”相结合的应用,有望影响我们照顾患者的方式。近年来,越来越多使用ML进行心血管保健(包括机械循环支持,即MCS)的文献不断涌现。这篇入门文章为临床医生提供了ML和AI相关概念的概述,回顾了ML中的预测建模概念,并提供了AI在MCS领域应用的背景参考。最后,它解释了如何将这些方法融入医学实践以改善患者预后。