人工智能与放射科医生在基于计算机断层扫描图像的骨折检测准确度方面:一个多维的,多区域的分析分析
Yunxia Liu1, Weifang Liu2, Haipeng Chen3
1Department of Radiology, The Third Medical Center of Chinese PLA General Hospital, Beijing, China.
Quantitative imaging in medicine and surgery
|October 23, 2023
概括
优化的人工智能 (AI) 模型显著改善了四肢骨折的检测,特别是脱落骨折,与最初的AI模型和放射科医生相比. 这种人工智能工具对骨科紧急诊断非常有希望.
科学领域:
- 医疗成像医学成像
- 人工智能在医学中的应用
- 整形外科 整形外科 整形外科
背景情况:
- 肢体骨折是导致死亡和残疾的主要原因,特别是在老年人中.
- 突破骨折经常被误诊,导致治疗延迟和诉讼增加.
- 准确和及时诊断四肢骨折对于患者的治疗结果至关重要.
研究的目的:
- 用计算机断层扫描 (CT) 图像评估人工智能 (AI) 模型对四肢骨折的诊断效率.
- 将预先优化的人工智能模型与优化的人工智能模型的性能进行比较.
- 具体评估人工智能模型在检测具有挑战性的突破骨折方面的有效性.
主要方法:
- 追溯收集成年肢体创伤的数字放射 (DR) 和CT图像.
- 预先优化的人工智能模型的培训和验证,然后进行优化.
- 在预先优化的AI,优化的AI和放射科医生之间,在病变和病例水平上比较诊断性能 (检测速率,准确性,灵敏度,特异性).
主要成果:
- 与预先优化的人工智能相比,优化的人工智能模型的检测率对于脱骨 (57.89%对35.09%) 和非脱骨骨折 (85.64%对71.29%) 都显著更高.
- 优化的人工智能模型对脱落骨折的检测率 (57.89%) 显著高于放射科医生 (29.82%).
- 在优化的人工智能模型和放射科医生之间,在病例级别的整体骨折检测中,在准确度,灵敏度和特异性方面没有发现显著差异.
结论:
- 优化的人工智能模型提高了X光片上四肢骨折的诊断效率.
- 优化的人工智能模型在检测脱落骨折方面优于放射科医生.
- 这种人工智能工具在骨科紧急情况中具有潜在的临床价值.
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