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肋骨骨折诊断的人工智能应用价值与进展

张小梅1 刘少强 2

1.赣南医科大学第一临床医学院 2.赣南医科大学第一附属医院医学影像科

摘要(Abstract):

肋骨骨折作为胸部损伤常见的损伤类型,传统诊断主要依赖于放射科诊断医生对数字化X射线摄影(Digitalra Diography,DR)及计算机断层扫描(Computed Tomography,CT)影像的人工阅片,大量、烦琐的阅片工作使诊断存在主观性强、漏诊误诊率高、效率低下等问题,随着人工智能(Artificial Intelligence,AI)的迅猛发展,AI技术凭借其在医学影像特征提取、模式识别与量化分析方面的优势,为肋骨骨折诊断提供了新的解决方案。本文围绕人工智能在肋骨骨折诊断中的应用展开综述,体现了AI技术在诊断肋骨骨折方面的诊断效率和准确率,人工智能技术有望成为在肋骨骨折诊断领域的规范化、强有力工具。


关键词(KeyWords):

肋骨骨折;人工智能;深度学习;计算机辅助诊断


参考文献(References):

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