Elisabeth-Tweesteden Hospital, Hilvarenbeekseweg 60, 5022 GC Tilburg, The Netherlands; Ghent University, C. Heymanslaan 10, 9000 Gent, Belgium.
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Radiol Clin North Am. 2021 Nov;59(6):955-966. doi: 10.1016/j.rcl.2021.06.006.
The potential of artificial intelligence (AI) in radiology goes far beyond image analysis. AI can be used to optimize all steps of the radiology workflow by supporting a variety of nondiagnostic tasks, including order entry support, patient scheduling, resource allocation, and improving the radiologist's workflow. This article discusses several principal directions of using AI algorithms to improve radiological operations and workflow management, with the intention of providing a broader understanding of the value of applying AI in the radiology department.
人工智能（AI）在放射学中的潜力远远超出了图像分析。通过支持各种非诊断任务，例如医嘱录入支持、患者预约、资源分配和改善放射科医生的工作流程，AI 可以用于优化放射科工作流程的所有步骤。本文讨论了使用 AI 算法改善放射科运营和工作流程管理的几个主要方向，旨在更全面地了解在放射科应用 AI 的价值。
