Division of Musculoskeletal Radiology, Department of Radiology, NYU Langone Health, 301 East 17th Street, 6th Floor, New York, NY, 10003, USA.
Skeletal Radiol. 2022 Feb;51(2):257-269. doi: 10.1007/s00256-021-03824-6. Epub 2021 Jun 5.
Musculoskeletal trauma accounts for a significant fraction of emergency department visits and patients seeking urgent care, with a high financial cost to society. Diagnostic imaging is indispensable in the workup and management of trauma patients. However, diagnostic imaging represents a complex multifaceted system, with many aspects of its workflow prone to inefficiencies or human error. Recent technological innovations in artificial intelligence and machine learning have shown promise to revolutionize our systems for providing medical care to patients. This review will provide a general overview of the current state of artificial intelligence and machine learning applications in different aspects of trauma imaging and provide a vision for how such applications could be leveraged to enhance our diagnostic imaging systems and optimize patient outcomes.
肌肉骨骼创伤占急诊科就诊和寻求紧急护理患者的很大一部分比例，给社会带来了很高的经济成本。诊断成像在创伤患者的检查和管理中不可或缺。然而，诊断成像代表了一个复杂的多方面系统，其工作流程的许多方面都容易出现效率低下或人为错误。人工智能和机器学习的最新技术创新有望彻底改变我们为患者提供医疗服务的系统。本综述将概述人工智能和机器学习在创伤成像各个方面的应用现状，并展望如何利用这些应用来增强我们的诊断成像系统和优化患者的结果。
