Najafi Arash, Cazzato Roberto Luigi, Meyer Bernhard C, Pereira Philippe L, Alberich Angel, López Antonio, Ronot Maxime, Fritz Jan, Maas Monique, Benson Sean, Haage Patrick, Gomez Munoz Fernando
Department of Radiology and Nuclear Medicine, Institut für Radiologie und Nuklearmedizin, Kantonsspital Winterthur, Brauerstrasse 15, 8401, Winterthur, Switzerland.
Department of Interventional Radiology, University Hospital of Strasbourg, Strasbourg, France.
Cardiovasc Intervent Radiol. 2023 Oct;46(10):1303-1307. doi: 10.1007/s00270-023-03521-y. Epub 2023 Sep 5.
Artificial intelligence (AI) has made tremendous advances in recent years and will presumably have a major impact in health care. These advancements are expected to affect different aspects of clinical medicine and lead to improvement of delivered care but also optimization of available resources. As a modern specialty that extensively relies on imaging, interventional radiology (IR) is primed to be on the forefront of this development. This is especially relevant since IR is a highly advanced specialty that heavily relies on technology and thus is naturally susceptible to disruption by new technological developments. Disruption always means opportunity and interventionalists must therefore understand AI and be a central part of decision-making when such systems are developed, trained, and implemented. Furthermore, interventional radiologist must not only embrace but lead the change that AI technology will allow. The CIRSE position paper discusses the status quo as well as current developments and challenges.
近年来,人工智能(AI)取得了巨大进展,预计将对医疗保健产生重大影响。这些进展有望影响临床医学的不同方面,不仅带来所提供医疗服务的改善,还能优化现有资源。作为一门广泛依赖成像技术的现代专业,介入放射学(IR)准备好在这一发展前沿占据一席之地。这一点尤为重要,因为介入放射学是一门高度先进的专业,严重依赖技术,因此自然容易受到新技术发展的冲击。冲击总是意味着机遇,因此介入放射科医生必须了解人工智能,并在开发、训练和实施此类系统时成为决策的核心部分。此外,介入放射科医生不仅要接受人工智能技术带来的变革,还要引领这一变革。欧洲心血管和介入放射学会(CIRSE)的立场文件讨论了现状以及当前的发展和挑战。