Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; and
Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; and.
J Nucl Med. 2019 Sep;60(Suppl 2):29S-37S. doi: 10.2967/jnumed.118.220590.
Despite the great media attention for artificial intelligence (AI), for many health care professionals the term and the functioning of AI remain a "black box," leading to exaggerated expectations on the one hand and unfounded fears on the other. In this review, we provide a conceptual classification and a brief summary of the technical fundamentals of AI. Possible applications are discussed on the basis of a typical work flow in medical imaging, grouped by planning, scanning, interpretation, and reporting. The main limitations of current AI techniques, such as issues with interpretability or the need for large amounts of annotated data, are briefly addressed. Finally, we highlight the possible impact of AI on the nuclear medicine profession, the associated challenges and, last but not least, the opportunities.
尽管人工智能 (AI) 受到了媒体的广泛关注,但对于许多医疗保健专业人员来说,这个术语及其功能仍然是一个“黑箱”,这导致了一方面的期望过高,另一方面的无端恐惧。在这篇综述中,我们提供了人工智能的概念分类和技术基础的简要总结。基于医学成像的典型工作流程,我们讨论了可能的应用,并按规划、扫描、解释和报告进行了分组。简要讨论了当前人工智能技术的主要限制,例如可解释性问题或对大量注释数据的需求。最后,我们强调了人工智能对核医学专业可能产生的影响、相关挑战,以及最后但同样重要的是机会。