Artificial intelligence in cardiac radiology

被引:0
作者
Marly van Assen
Giuseppe Muscogiuri
Damiano Caruso
Scott J. Lee
Andrea Laghi
Carlo N. De Cecco
机构
[1] Emory University Hospital | Emory Healthcare,Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences
[2] Inc.,Department of Imaging, Centro Cardiologico Monzino
[3] IRCCS,Dipartimento di Scienze Medico Chirurgiche e Medicina Traslazionale
[4] Universita degli Studi Roma La Sapienza,undefined
来源
La radiologia medica | 2020年 / 125卷
关键词
Cardiac imaging; Artificial intelligence; Computed tomography; Magnetic resonance imaging;
D O I
暂无
中图分类号
学科分类号
摘要
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.
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页码:1186 / 1199
页数:13
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