医学
急诊分诊台
一致性
预测值
放射科
射线照相术
前瞻性队列研究
急诊医学
试验预测值
梅德林
医疗急救
接收机工作特性
临床试验
疾病严重程度
胸片
重症监护医学
临床判断
作者
Mathew Storey,Anthony Jen-Yu Chung,Jack Packer,Anne-Marie Bartsch,Anita Rhodes,Rafal Colta,Simon Rickaby,Christina Malamateniou,Geraldine Dean,Susan Cheng Shelmerdine
出处
期刊:Radiology
[Radiological Society of North America]
日期:2026-04-22
卷期号:8 (3): e250964-e250964
被引量:1
摘要
A commercially available artificial intelligence (AI) model identified approximately one-fifth of chest radiographs as normal with a low clinically significant miss rate, suggesting potential for AI-assisted triage to deprioritize normal examinations.
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