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人工智能在急诊放射学中的应用:当前应用、挑战和机遇概述。

Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.

机构信息

Department of Radiology and Biomedical Imaging, Yale School of Medicine, Box 208042, Tompkins East 2, 333 Cedar St, New Haven, CT 06520-8042, United States of America.

出版信息

Clin Imaging. 2022 Sep;89:61-67. doi: 10.1016/j.clinimag.2022.05.010. Epub 2022 May 30.

Abstract

The value of artificial intelligence (AI) in healthcare has become evident, especially in the field of medical imaging. The accelerated pace and acuity of care in the Emergency Department (ED) has made it a popular target for artificial intelligence-driven solutions. Software that helps better detect, report, and appropriately guide management can ensure high quality patient care while enabling emergency radiologists to better meet the demands of quick turnaround times. Beyond diagnostic applications, AI-based algorithms also have the potential to optimize other important steps within the ED imaging workflow. This review will highlight the different types of AI-based applications currently available for use in the ED, as well as the challenges and opportunities associated with their implementation.

摘要

人工智能(AI)在医疗保健领域的价值已经显而易见,特别是在医学影像领域。急诊部(ED)的护理步伐和敏锐度加快,使其成为人工智能驱动解决方案的热门目标。有助于更好地检测、报告和适当指导管理的软件可以确保高质量的患者护理,同时使急诊放射科医生能够更好地满足快速周转时间的需求。除了诊断应用,基于人工智能的算法还有可能优化 ED 影像工作流程中的其他重要步骤。这篇综述将重点介绍目前可用于 ED 的不同类型的基于人工智能的应用,以及与它们的实施相关的挑战和机遇。

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