Artificial Intelligence Empowered Nuclear Medicine and Molecular Imaging in Cardiology: A State-of-the-Art Review.

IF 3.7 Q2 GENETICS & HEREDITY
Phenomics (Cham, Switzerland) Pub Date : 2023-12-05 eCollection Date: 2023-12-01 DOI:10.1007/s43657-023-00137-7
Junhao Li, Guifen Yang, Longjiang Zhang
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引用次数: 0

Abstract

Nuclear medicine and molecular imaging plays a significant role in the detection and management of cardiovascular disease (CVD). With recent advancements in computer power and the availability of digital archives, artificial intelligence (AI) is rapidly gaining traction in the field of medical imaging, including nuclear medicine and molecular imaging. However, the complex and time-consuming workflow and interpretation involved in nuclear medicine and molecular imaging, limit their extensive utilization in clinical practice. To address this challenge, AI has emerged as a fundamental tool for enhancing the role of nuclear medicine and molecular imaging. It has shown promising applications in various crucial aspects of nuclear cardiology, such as optimizing imaging protocols, facilitating data processing, aiding in CVD diagnosis, risk classification and prognosis. In this review paper, we will introduce the key concepts of AI and provide an overview of its current progress in the field of nuclear cardiology. In addition, we will discuss future perspectives for AI in this domain.

人工智能赋能心脏病学核医学和分子成像:最新技术综述。
核医学和分子成像在心血管疾病(CVD)的检测和管理中发挥着重要作用。随着近年来计算机能力的进步和数字档案的普及,人工智能(AI)在医学成像领域,包括核医学和分子成像领域的应用正迅速发展。然而,核医学和分子成像所涉及的复杂、耗时的工作流程和解读限制了它们在临床实践中的广泛应用。为了应对这一挑战,人工智能已成为加强核医学和分子成像作用的基本工具。它在核心脏病学的多个关键方面都显示出良好的应用前景,如优化成像方案、促进数据处理、辅助心血管疾病诊断、风险分类和预后。在这篇综述论文中,我们将介绍人工智能的关键概念,并概述其在核心脏病学领域的最新进展。此外,我们还将讨论人工智能在这一领域的未来前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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