医学
入职培训
急诊分诊台
软件
冲程(发动机)
神经外科
医疗急救
医学物理学
多学科团队
放射科
计算机科学
护理部
工程类
程序设计语言
机械工程
社会心理学
心理学
作者
Yasmin Aziz,Aakanksha Sriwastwa,Kambiz Nael,Pablo Harker,Eva Mistry,Pooja Khatri,Arindam Chatterjee,Jeremy J. Heit,Ashutosh P. Jadhav,Vivek Yedavalli,Achala Vagal
出处
期刊:Stroke
[Ovid Technologies (Wolters Kluwer)]
日期:2025-06-09
卷期号:56 (9): 2810-2818
标识
DOI:10.1161/strokeaha.124.049555
摘要
Software programs leveraging artificial intelligence to detect vessel occlusions are now widely available to aid in stroke triage. Given their proprietary use, there is a surprising lack of information regarding how the software works, who is using the software, and their performance in an unbiased real-world setting. In this educational review of automated vessel occlusion software, we discuss emerging evidence of their utility, underlying algorithms, real-world diagnostic performance, and limitations. The intended audience includes specialists in stroke care in neurology, emergency medicine, radiology, and neurosurgery. Practical tips for onboarding and utilization of this technology are provided based on the multidisciplinary experience of the authorship team.
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