Seetharam Karthik, Shrestha Sirish, Sengupta Partho P
West Virginia University Medicine Heart and Vascular Institute Morgantown, WV, US.
Interv Cardiol. 2021 Oct 20;16:e31. doi: 10.15420/icr.2020.04. eCollection 2021 Apr.
Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.
人工智能（AI）是在机器中模拟人类智能，使其能够执行各种行动并进行决策。机器学习（ML）是人工智能的一个分支，它可以分析数据中的信息并发现新的模式。随着数据变得越来越复杂，人工智能和机器学习在医疗保健领域正迅速崭露头角。这些算法可以通过自动执行许多任务或计算来增强心血管成像的作用，在数据中发现新的模式或表型，并提供替代诊断。在介入心脏病学中，人工智能可以协助术中指导、血管内成像，并为操作人员提供额外信息。人工智能正在缓慢地将其边界扩展到介入心脏病学领域，并可能从根本上改变这一领域。在这篇综述中，作者讨论了人工智能如何增强心血管成像以及介入心脏病学中成像的作用。
