广东医学2024，Vol.45Issue(8)：993-997,5.DOI:10.13820/j.cnki.gdyx.20225230
人工智能在胸部骨折CT诊断中的应用
Application of artificial intelligence in CT diagnosis of thoracic fracture
摘要
Abstract
Objective To investigate the diagnostic performance and application value of an artificial intelligence(AI)bone disease diagnosis system in the diagnosis of thoracic fractures.Methods A retrospective analysis was per-formed on 726 cases of thoracic fractures confirmed by chest CT re-examination 3-6 weeks after trauma emergency ad-mission at Shenzhen University General Hospital.The recall rate,precision rate,and F1 score of AI,two radiologists,and the radiologists assisted by AI in diagnosing thoracic fractures were calculated.Results The recall rate and F1 score of AI in detecting rib fractures were 0.91 and 0.92,respectively,both higher than those of Radiologist 1(0.77,0.85)and Radiologist 2(0.84,0.90).The precision rate of AI(0.92)was lower than that of Radiologist 1(0.95)and Radi-ologist 2(0.96).With AI assistance,the recall rate,precision rate,and F1 score of Radiologist 1 and Radiologist 2 in detecting rib fractures were 0.94,0.95,0.94 and 0.97,0.98,0.97,respectively.For detecting other thoracic frac-tures,the recall rate and F1 score of AI(0.90,0.90)were higher than those of Radiologist 1(0.62,0.74)and Radiol-ogist 2(0.73,0.81).With AI assistance,the recall rate,precision rate,and F1 score of Radiologist 1 and Radiologist 2 in detecting other thoracic fractures were 0.94,0.95,0.94 and 0.97,0.97,0.97,respectively.Conclusion AI can efficiently and sensitively detect thoracic fractures in chest CT scans of emergency trauma patients,potentially optimizing the diagnosis and treatment process for emergency trauma patients.关键词
体层摄影术/胸部/深度学习/创伤/急诊/人工智能Key words
tomography/thorax/deep learning/trauma/emergency/artificial intelligence分类
医药卫生引用本文复制引用
刘玉蒙,吴光耀,吴若岱,陆超,吕云罡,叶海,陈靓,周敏敏,李光耀,吴松雄..人工智能在胸部骨折CT诊断中的应用[J].广东医学,2024,45(8):993-997,5.基金项目
深圳市科技计划项目(JCYJ20210324100208022) （JCYJ20210324100208022）
