Department of Cardiac Sciences, University of Calgary, GAA08, 3230 Hospital Drive Northwest, Calgary, Alberta T2N 2T9, Canada.
Cardiol Clin. 2023 May;41(2):151-161. doi: 10.1016/j.ccl.2023.01.004. Epub 2023 Feb 20.
Artificial intelligence (AI) encompasses a variety of computer algorithms that have a wide range of potential clinical applications in nuclear cardiology. This article will introduce core terminology and concepts for AI including classifications of AI as well as training and testing regimens. We will then highlight the potential role for AI to improve image registration and image quality. Next, we will discuss methods for AI-driven image attenuation correction. Finally, we will review advancements in machine learning and deep-learning applications for disease diagnosis and risk stratification, including efforts to improve clinical translation of this valuable technology with explainable AI models.
人工智能(AI)涵盖了多种计算机算法,这些算法在核心脏病学中有广泛的潜在临床应用。本文将介绍 AI 的核心术语和概念,包括 AI 的分类以及培训和测试方案。然后,我们将重点介绍 AI 改善图像配准和图像质量的潜在作用。接下来,我们将讨论用于 AI 驱动的图像衰减校正的方法。最后,我们将回顾机器学习和深度学习在疾病诊断和风险分层中的应用进展,包括利用可解释的 AI 模型来改善这项有价值技术的临床转化的努力。