医学
工作流程
医学影像学
创伤护理
人工智能
诊断试验
急诊科
医疗急救
医学物理学
重症监护医学
放射科
计算机科学
急诊医学
护理部
数据库
作者
Olga Laur,Benjamin Wang
标识
DOI:10.1007/s00256-021-03824-6
摘要
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.
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