Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Skeletal Radiol. 2022 Feb;51(2):279-291. doi: 10.1007/s00256-021-03862-0. Epub 2021 Jul 15.
Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.
最近的研究集中在人工智能（AI）在专门针对肌肉骨骼成像常规的任务中的临床应用上。已经有几个 AI 应用致力于优化脊柱成像的放射学价值链，而不受模态或特定应用的影响。本综述旨在总结 AI 在脊柱成像中的应用现状和未来展望。首先，阐明 AI 概念的基础知识。其次，讨论了 AI 在脊柱成像中的不同任务和用例，并通过示例进行了说明。最后，本文的作者介绍了他们对日常成像中 AI 的个人看法，并讨论了 AI 解决方案带来的未来机遇和挑战。
