医学
射线照相术
肺癌
放射科
回顾性队列研究
肺病
呼吸道疾病
诊断准确性
样品(材料)
肺
核医学
癌症
人工智能
医学物理学
梅德林
医学影像学
疾病
作者
Ahmed Maiter,Jonathan Christopher Taylor,Peter Metherall,Georgia A Hyde,Elizabeth Anderson,Eleanor Hesketh,Emily Burton,S. Matthews,Katherine Hocking,Sean Burns,Hannah Reilly,Nicholas Weatherley,Sarah Holt,Mohamed A. Kamil,Oscar Evans,Krit Dwivedi,Samer Alabed,Michael J. Sharkey,W. B. Tindale,Steven Wood
出处
期刊:Radiology
[Radiological Society of North America]
日期:2026-05-01
卷期号:319 (2): e252205-e252205
被引量:2
标识
DOI:10.1148/radiol.252205
摘要
Seven commercial artificial intelligence devices for detecting lung cancer on chest radiographs demonstrated substantial diagnostic accuracy variability in a consecutive retrospective patient sample with representative disease prevalence.
科研通智能强力驱动
Strongly Powered by AbleSci AI