现代信息科技2026，Vol.10Issue(7)：51-57,7.DOI:10.19850/j.cnki.2096-4706.2026.07.011
肋骨骨折CT智能辅助诊断系统开发、集成与应用
AI-Powered Rib Fracture CT Diagnostic System:Development,Integration and Application
摘要
Abstract
This study explores the integration scheme of an Artificial Intelligence(AI)-assisted diagnostic system for rib fractures on chest CT with the Picture Archiving and Communication System(PACS),aiming to significantly improve the efficiency and accuracy of rib fracture diagnosis.An efficient AI-assisted diagnostic system for rib fractures on chest CT is constructed,and an integration interface between the system and PACS is designed.A total of 187 patients with chest trauma are enrolled,and all patients undergo two CT scans on the day of chest trauma and within 1 to 3 months after injury.The presence of definite callus on the second follow-up chest CT is used as the gold standard for the diagnosis of rib fractures.The consistency between manual diagnosis and AI-assisted diagnosis based on the first chest CT,as well as the difference in diagnostic time,are compared and analyzed.The integrated AI-assisted diagnostic system improves the diagnostic efficiency of rib fractures,with the average diagnostic time shortened by 15.12%.Meanwhile,the system enhances the diagnostic efficacy of rib fractures that the average sensitivity for diagnosing complete rib fractures is increased by 5.06%,and the average positive predictive value is increased by 1.51%.The average sensitivity for diagnosing incomplete rib fractures is increased by 16.45%,and the average positive predictive value is increased by 4.65%,both of which are significantly superior to traditional manual diagnosis.This innovative integration scheme has important clinical application value and broad application prospects,and is expected to play an important role in clinical practice.关键词
人工智能/肋骨骨折/影像诊断/集成应用/接口设计Key words
Artificial Intelligence/rib fracture/imaging diagnosis/integrated application/interface design分类
信息技术与安全科学引用本文复制引用
王磊,王静雯,周翔..肋骨骨折CT智能辅助诊断系统开发、集成与应用[J].现代信息科技,2026,10(7):51-57,7.基金项目
国家自然科学基金国家重大科研仪器研制项目(82227807) （82227807）
上海市卫生健康委员会新兴交叉领域研究专项(2022JC017) （2022JC017）
