Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital | Emory Healthcare, Inc., 1365 Clifton Road NE, Suite - AT503, Atlanta, GA, 30322, USA.
Department of Imaging, Centro Cardiologico Monzino, IRCCS, Milan, Italy.
Radiol Med. 2020 Nov;125(11):1186-1199. doi: 10.1007/s11547-020-01277-w. Epub 2020 Sep 18.
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI algorithms can be also utilized to optimize image reconstruction and image quality. Since these algorithms will play an important role in the field of cardiac radiology, it is increasingly important for radiologists to be familiar with the potential applications of AI. The main focus of this article is to provide an overview of cardiac-related AI applications for CT and MRI studies, as well as non-imaging-based applications for reporting and image optimization.
人工智能(AI)正在进入临床领域,在早期阶段,它的应用将集中在自动化任务上,以提高诊断准确性和减少阅读时间。许多研究探讨了 AI 在支持心脏放射科医生日常工作中的潜在作用,辅助进行分割、量化和报告任务。此外,AI 算法还可用于优化图像重建和图像质量。由于这些算法将在心脏放射学领域发挥重要作用,因此放射科医生越来越有必要熟悉 AI 的潜在应用。本文的主要重点是提供 CT 和 MRI 研究中与心脏相关的 AI 应用的概述,以及报告和图像优化的基于非成像的应用。