CLEERLY, INC., NEW YORK, NEW YORK.
Methodist Debakey Cardiovasc J. 2020 Oct-Dec;16(4):263-271. doi: 10.14797/mdcj-16-4-263.
Cardiovascular disease is the leading cause of mortality in Western countries and leads to a spectrum of complications that can complicate patient management. The emergence of artificial intelligence (AI) has garnered significant interest in many industries, and the field of cardiovascular imaging is no exception. Machine learning (ML) especially is showing significant promise in various diagnostic imaging modalities. As conventional statistics are reaching their apex in computational capabilities, ML can explore new possibilities and unravel hidden relationships. This will have a positive impact on diagnosis and prognosis for cardiovascular imaging. In this in-depth review, we highlight the role of AI and ML for various cardiovascular imaging modalities.
心血管疾病是西方国家死亡的主要原因,可导致一系列并发症,使患者的管理变得复杂。人工智能(AI)的出现引起了许多行业的极大关注,心血管成像领域也不例外。机器学习(ML)在各种诊断成像方式中显示出了巨大的应用潜力。随着传统统计学在计算能力方面达到顶峰,ML 可以探索新的可能性并揭示隐藏的关系。这将对心血管成像的诊断和预后产生积极影响。在这篇深入的综述中,我们强调了 AI 和 ML 在各种心血管成像方式中的作用。