Seetharam Karthik, Brito Daniel, Farjo Peter D, Sengupta Partho P
Department of Cardiology, West Virginia University Medicine Heart & Vascular Institute, Morgantown, WV, United States.
Front Cardiovasc Med. 2020 Dec 23;7:618849. doi: 10.3389/fcvm.2020.618849. eCollection 2020.
In this current digital landscape, artificial intelligence (AI) has established itself as a powerful tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge imaging modalities outputting multi-dimensional data are becoming increasingly complex. In this era of data explosion, the field of cardiovascular imaging is undergoing a paradigm shift toward machine learning (ML) driven platforms. These diverse algorithms can seamlessly analyze information and automate a range of tasks. In this review article, we explore the role of ML in the field of cardiovascular imaging.
在当前的数字环境中,人工智能(AI)已成为商业行业中的强大工具,并且是医疗保健领域不断发展的技术。输出多维数据的前沿成像模式正变得越来越复杂。在这个数据爆炸的时代,心血管成像领域正在朝着机器学习(ML)驱动的平台发生范式转变。这些多样的算法可以无缝分析信息并自动执行一系列任务。在这篇综述文章中,我们探讨了机器学习在心血管成像领域中的作用。